Find Your Dream Research Job in USA

Job Description:

Location: Redmond, WA

Contract duration: 12+ Months with possible extension

The main function of a research engineer is to research and investigate the design, functionality and maintenance of mechanical products, equipment, systems and processes. A typical research engineer has the ability to make engineering drawings, and read and interpret blueprints. Job Responsibilities: • Research, design, develop, manufacture, and test tools, engines, machines and other mechanical devices. • Research and analyze customer design proposals, specifications, manuals to determine time and cost feasibility to complete projects. • Investigate equipment failures and difficulties to diagnose faulty operation and make recommendation to maintenance crew. • Assist drafters in developing the structural design of products using tools, equipment or software. Skills: • Creativity, verbal and written communication skills, analytical and problem solving ability. • Team player and detail oriented. • Ability to make sketches, engineering drawings and common computations. • Ability to read and interpret blueprints, technical drawing, schematics and computer-generated reports. • Previous experience with computer applications and software related to engineering field, such as Computer Aided Design (CAD). Education/Experience: • Bachelor's degree in engineering required.

Date Posted:

Country:

United States of America

Location:

VA111: 1300 N 17th Street, Arlington 1300 North 17th Street Suite 400, Arlington, VA, 22209 USA

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.

U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance:

DoD Clearance: Top Secret

BBN Technologies solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. Our team specializes in developing next-generation sensor system technologies by combining a fundamental understanding of the underlying EM physics including complex electromagnetic interactions and signatures, and propagation phenomenology, with a deep expertise in analysis, statistical signal processing, optimization, and machine learning We are currently searching for a highly qualified RF Signal Processing Research Scientist to join our team in Arlington, VA or Columbia, MD. Desirable candidates will have experience deriving and implementing research-grade algorithms and applying these to data collected from real sensors. Qualified candidates will have academic or professional experience in several of the areas listed below.

What You Will Do

The position requires routine onsite presence at our Arlington, VA or Columbia, MD offices

Statistical signal processing:

• Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.

• Detection techniques including the Neyman-Pearson detection, probabilities of detection and false alarm, receiver operating curves, etc.

• Cyclostationary signal processing:

• CAF, SCF, SOF estimation.

• Computation of Cyclic Cumulants.

• Cyclic Feature Detection.

• Adaptive signal processing:

• Temporal and space-time adaptive processing.

• Interference covariance estimation techniques including both structured and reduced-rank techniques.

• Wiener filtering and on-line adaptive techniques such as LMS and RLS.

• Kalman filtering, particle filtering, and multi-hypothesis tracking.

• Machine learning and optimization for optimal control.

• RF propagation and signature modeling:

• Link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics.

• Antenna pattern estimation.

• Estimation of bistatic RCS.

• Sensing:

• Sparse array processing, beamforming, direction finding, filtering and tracking.

• Range-Doppler radar and synthetic aperture radar (SAR).

• Signal classification and recognition.

Physical-layer communications:

• Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding.

• LPX waveform design.

• Multi-user detection.

Qualifications You Must Have

• BS degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant field plus 12 years relevant experience of M.S. degree plus 10 years of experience or Ph.D. plus 8 years experience.

• Experience with signal processing, including estimation, detection, etc.

• Experience with RF modeling and sensing.

• An active government security clearance.

• Position will require some overnight travel.

• Experience applying advanced methods, theories, and R&D techniques to solve difficult problems.

• Skillset to tackle research challenges proactively with minimal supervision and periodic check-ins with team leads.

• Experience leading small teams of technical contributors.

• Experience documenting plans and scientific findings with opportunities to present to government customers.

What We Offer

Benefits (focus on unique benefits vs. standard). You may use your current requisition benefits content provided they have been reviewed by your HR Bus. Partner and Recruiter. Or you may use - Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

• Relocation Assistance available

• This position is Onsite at our Arlington, VA or Columbia, MD office

To help you achieve your goals, BBN will provide

• A strong leadership team well-versed in government R&D.

• A collaborative and collegial environment to push state-of-the-art research.

• Technically competent pool of research scientists who are willing to mentor, listen, and help you refine your research vision and goals.

• Business development, programmatic, contracting, finance, and HR support.

• Access, through RTX, to opportunities that help transition your research and ultimately see it fielded.

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

The salary range for this role is 162,000 USD - 326,000 USD. The salary range provided is a good faith estimate representative of all experience levels.

RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link ( to read the Policy and Terms

Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Date Posted:

Country:

United States of America

Location:

MD720: 9861 Broken Land Pkwy Columbia 9861 Broken Land Parkway Suite 400, Columbia, MD, 21046 USA

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance:

DoD Clearance: Secret

BBN Technologies solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. Our team specializes in developing next-generation sensor system technologies by combining a fundamental understanding of the underlying EM physics including complex electromagnetic interactions and signatures, and propagation phenomenology, with a deep expertise in analysis, statistical signal processing, optimization, and machine learning We are currently searching for a highly qualified RF Signal Processing Research Scientist to join our team in Arlington, VA or Columbia, MD. Desirable candidates will have experience deriving and implementing research-grade algorithms and applying these to data collected from real sensors. Qualified candidates will have academic or professional experience in several of the areas listed below. We have an immediate need for synthetic aperture radar (SAR) expertise.

What You Will Do

• The position requires routine onsite presence at our Arlington, VA or Columbia, MD offices.

• Statistical signal processing:

• Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.

• Detection techniques including the Neyman-Pearson detection, probabilities of detection and false alarm, receiver operating curves, etc.

• Cyclostationary signal processing:

• CAF, SCF, SOF estimation.

• Computation of Cyclic Cumulants.

• Cyclic Feature Detection.

• Adaptive signal processing:

• Temporal and space-time adaptive processing.

• Interference covariance estimation techniques including both structured and reduced-rank techniques.

• Wiener filtering and on-line adaptive techniques such as LMS and RLS.

• Kalman filtering, particle filtering, and multi-hypothesis tracking.

• Machine learning and optimization for optimal control.

• RF propagation and signature modeling:

• Link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics.

• Antenna pattern estimation.

• Estimation of bistatic RCS.

• Sensing:

• Sparse array processing, beamforming, direction finding, filtering and tracking.

• Range-Doppler radar and synthetic aperture radar (SAR).

• Signal classification and recognition.

• Physical-layer communications:

• Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding.

• LPX waveform design.

• Multi-user detection.

Qualifications You Must Have

BS Electrical Engineering, Mathematics, or Physics plus 8+ years of relevant experience, or MS with 5+ years experience or Ph.D. plus 3+ years experience.

Experience with signal processing, including estimation, detection, etc.

Experience with RF modeling and sensing.

Ability to obtain a government security clearance.

Qualifications We Prefer - Familiar with all, Expert in some

• Position may require some overnight travel.

• Experience applying advanced methods, theories, and R&D techniques to solve difficult problems.

• Skillset to tackle research challenges proactively with minimal supervision and periodic check-ins with team leads.

• Experience leading small teams of technical contributors.

• Experience documenting plans and scientific findings with opportunities to present to government customers.

• An active government security clearance.

What We Offer

Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

• Relocation Assistance available

• This position is hybrid role at our Arlington, VA or Columbia, MD offices.

To help you achieve your goals, BBN will provide

• A strong leadership team well-versed in government R&D.

• A collaborative and collegial environment to push state-of-the-art research.

• Technically competent pool of research scientists who are willing to mentor, listen, and help you refine your research vision and goals.

• Business development, programmatic, contracting, finance, and HR support.

• Access, through RTX, to opportunities that help transition your research and ultimately see it fielded.

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

The salary range for this role is 112,000 USD - 224,000 USD. The salary range provided is a good faith estimate representative of all experience levels.

RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link ( to read the Policy and Terms

Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Video Standards Engineering

General Summary:

Qualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on machine learning for video compression. You join a world-renowned team of video compression experts who develop algorithms, hardware architectures, and systems for state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases. The ideal candidate will be a highly self-directed individual with strong creative and analytic skills, and a passion for machine learning and video compression technologies. Your work will involve developing innovative applications of Neural Networks in video compression to enhance state-of-the-art video codecs. This role offers the opportunity to contribute to groundbreaking advancements in video compression technology, working alongside a team of experts in a dynamic and collaborative environment.

We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, with preferred locations in USA, Germany and Taiwan.

Responsibilities:

• Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms allowing improved video compression.

• Represent Qualcomm in the related standardization forums: JVET, MPEG Video, and ITU-T/VCEG.

• Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference papers and presentations, and journal publications, etc.

Ideal candidate would have the skills/experience below:

• Knowledge of Neural Networks based data compression, and the theory, algorithms, and techniques used in video and image coding.

• Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit.

• Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications in the field of applications of Machine Learning to image or video compression.

• Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch.

• Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.

• PhD degree with relevant work experience or publications in the areas of video compression, video/image processing algorithms, or machine learning.

Qualifications:

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.

• 1+ years of experience with programming language such as C, C++, MATLAB, etc.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits :

$148,300.00 - $222,500.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .

If you would like more information about this role, please contact Qualcomm Careers ( .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification

We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are :

As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions.

The Work :

Development & Implementation:

• Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements.

• Translate research prototypes into production-ready code and scalable solutions.

• Optimize algorithms and models for performance, efficiency, and reliability in real-world applications.

Deployment & Integration:

• Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows.

• Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges.

• Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness.

Collaboration & Communication:

• Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives.

• Provide technical guidance and support to team members on AI development and deployment issues.

• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Research & Innovation:

• Stay current with the latest developments in AI research and technology and apply relevant advancements to improve AI systems and models.

• Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement.

• Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA.

Here's what you need

• Bachelor's degree (or equivalent minimum 12 years' work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or related backgrounds

• 2 years of programming experience with programming languages such as Python, C++, or Java.

• 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.

Bonus points if you have

• 4 years of programming experience with programming languages such as Python, C++, or Java.

• 2 years of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.

• 1 years of experience in conducting research in machine learning, natural language processing or computer vision.

• Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (

Role Location Annual Salary Range

California $73,800 to $220,400

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Minnesota $73,800 to $190,400

Maryland $73,800 to $190,400

New York/New Jersey $68,300 to $220,400

Washington $78,500 to $202,700

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) , send us an email ( or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are :

As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions.

The Work :

Development & Implementation:

• Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements.

• Translate research prototypes into production-ready code and scalable solutions.

• Optimize algorithms and models for performance, efficiency, and reliability in real-world applications.

Deployment & Integration:

• Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows.

• Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges.

• Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness.

Collaboration & Communication:

• Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives.

• Provide technical guidance and support to team members on AI development and deployment issues.

• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Research & Innovation:

• Stay current with the latest developments in AI research and technology and apply relevant advancements to improve AI systems and models.

• Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement.

• Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA.

Here's what you need

• Bachelor's degree (or equivalent minimum 12 years' work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or related backgrounds

• 2 years of programming experience with programming languages such as Python, C++, or Java.

• 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.

Bonus points if you have

• 4 years of programming experience with programming languages such as Python, C++, or Java.

• 2 years of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.

• 1 years of experience in conducting research in machine learning, natural language processing or computer vision.

• Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (

Role Location Annual Salary Range

California $73,800 to $220,400

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Minnesota $73,800 to $190,400

Maryland $73,800 to $190,400

New York/New Jersey $68,300 to $220,400

Washington $78,500 to $202,700

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) , send us an email ( or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Microsoft Research AI Frontiers lab is seeking applications for the position of Research Engineer - Generative AI to join their team in Redmond, WA

The mission of the AI Frontiers ( lab is to expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on Small Language Models (e.g. Phi, Orca), and Agentic AI (e.g. AutoGen, OmniParser, Magentic-One, Magentic-UI).

We are seeking Research Engineers to join our team and contribute to the advancement of Generative AI and Large Language Models (LLMs) technologies. As a Research Engineer, you will play a crucial role in developing, improving, and exploring the capabilities of Generative AI models. Your work will have a significant impact on the development of cutting-edge technologies, advancing state-of-the-art and providing practical solutions to real-world problems.

Our ongoing research areas encompass but are not limited to:

• Pre-training: especially of language models, action models and multimodal models

• Alignment and Post-training: e.g., Instruction tuning and reinforcement learning from feedback

• Reasoning: Enabling LLMs to scale inferce-time compute via reinforcement learning

• Action Models: Trailing models capable of taking action in the digital world (e.g. computer use and web agents)

• Orchestration and multi-agent systems: automated orchestration between multiple agents incorporatingcollaboration, humanfeedback and oversight

The AI Frontiers lab offers a vibrant environment for cutting-edge, multidisciplinary, research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic institutions around the world.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

As a Research Engineer in AI Frontiers, you will design, develop, execute, and implement technology research projects in collaboration with other researchers, engineers, and product groups.

As a member of a word-class research organization, you will be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide.

Qualifications

Required Qualifications

• Bachelors in Computer Science or relevant field AND 2+ years relatedexperience

• OR Master's Degree in Computer Scienceor related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Computer Science or related field

• OR equivalent experience.

• 2+ years related Machine Learning experience.

• Experience in building Generative AI pipelines and/or integrating Generative AI into applications.

Preferred Qualifications

• Experience in running experiments with LLMs pre-training and/or finetuning.

• Experience in building data collection and curation pipelines.

• Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.

• Keen interest in real-world applications and impact.

• Experience with Python and PyTorch.

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Applied Sciences IC4- The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Applied Research Engineer - Multimodal LLMs

Seattle, Washington, United States

Machine Learning and AI

Summary

Posted: Jan 10, 2025

Role Number:

Are you excited with the amazing potential of foundation models, LLMs and multimodal LLMs?

We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life.

Description

We are seeking a highly motivated and skilled Applied Research Engineer to join our team. The ideal candidate will have a strong background in developing and exploring multimodal large language models that integrate various types of data such as text, image, video, and audio. You will work on cutting-edge research projects to advance our AI and computer vision capabilities, contributing to both foundational research and practical applications

• Conduct research and development on multimodal large language models, focusing on exploring and utilizing diverse data modalities • Design, implement, and evaluate algorithms and models to enhance the performance and capabilities of our AI systems • Collaborate with cross-functional teams, including researchers, data scientists, software engineers, to translate research into practical applications • Stay up-to-date with the latest advancements in AI, machine learning, and computer vision, and apply this knowledge to drive innovation within the company

Minimum Qualifications

• Experience in developing, training/tuning multimodal LLMs

• Programming skills in Python

• Bachelors Degree and a minimum of 3 years relevant industry experience.

Preferred Qualifications

• Expertise in one or more of: computer vision, NLP, multimodal fusion, Generative AI.

• Experience with at least one deep learning framework such as JAX, PyTorch, or similar.

• Publication record in relevant venues.

• PhD in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine learning, or computer vision.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as more about Apple Benefits. (

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group ( a company with over 90 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

The security and privacy group at the Research and Technology Center in Pittsburgh is one of two global groups (and the only one in North America) focused on the development of novel security and privacy technologies to create innovative cybersecurity and privacy solutions that protect Bosch's products, infrastructure, and have the potential to create new business opportunities for the Bosch group.

Job Description

The expected candidate will engage in a broad spectrum of cutting-edge research in areas at the intersection of applied cryptography, security, system security, and AI for security. We are particularly interested in candidates that can demonstrate through their research work experience in the application of AI techniques and methods to solving challenging security and privacy problems. The successful candidate is expected to:

• Drive research projects spanning a wide variety of topics and domains including but not limited to cyberdefense, automotive system security, industrial control system security, privacy for data intensive applications, and security in distributed systems

• Positively impact the future business of Bosch from the invention of novel technologies and intellectual property through their successful transfer to business units for realization in real products

• Collaborate closely with top-tier research universities in the US (e.g. Carnegie Mellon University) to help bring cutting-edge R&D results out of the lab and into the market

• Shape Bosch's future R+D strategy via identification of early-stage trends and technologies via active scouting of the overall scientific/technical environment

Qualifications

Required Qualifications:

• Ph.D. in computer science, computer/electrical engineering, or related field

• Experience in security and privacy research showing the ability for novel results and, at the same time, to build prototypes and verify experimentally theoretical designs.

• Experience in solving problems at the intersection of security and machine learning/AI (i.e., LLMs), and in particular, the application of modern AI techniques, tools and method to solve challenging security and privacy problems, such as, intrusion detection, anomaly detection in security applications, network security, and applications of data mining to/in constrained environments (e.g., automotive networks) for security

Preferred Qualifications:

• Experience in at least one of the following areas as evidenced by significant contributions in the form of publications and/or patents or patent applications:

• System Security, network security, hardware, embedded security, side-channels, trusted computing and secure execution environments (e g, SGX, ARM TrustZone, etc.)

• Privacy enhancing technologies, Zero knowledge proofs, MPC, differential privacy, etc.

NOTE: Candidates familiar with a second area (should be able to understand and contribute in deep technical discussions in the first area) are particularly encouraged to apply.

• Publications or graduate-level coursework in Deep Learning/Reinforcement Learning /Generative Models, LLM-focused security, adversarial ML, etc Fluency in ML libraries such as Pytorch, TensorFlow, SKLearn, Hugging, Face Transformers, etc. as evidenced to open source projects or similar.

• Fluent in at least one high-level programming language (e.g., C/C++, python, etc.). Experience with low level programming (assembly) or HDL a plus.

• Excellent communication and presentations skills, including the ability to effectively convey complex technical topics to non-subject matter experts

Additional Information

Equal Opportunity Employer, including disability / veterans

Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are :

As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions.

The Work :

Development & Implementation:

• Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements.

• Translate research prototypes into production-ready code and scalable solutions.

• Optimize algorithms and models for performance, efficiency, and reliability in real-world applications.

Deployment & Integration:

• Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows.

• Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges.

• Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness.

Collaboration & Communication:

• Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives .

• Provide technical guidance and support to team members on AI development and deployment issues.

• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Research & Innovation:

• Stay current with the latest developments in AI research and technology, and apply relevant advancements to improve AI systems and models.

• Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement.

• Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA.

Here's what you need

• Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or related backgrounds

• Minimum of 4 years of work experience with programming languages such as Python, C++, or Java.

• Minimum of 4 years of work experience with machine learning algorithms and tools ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing.

Bonus points if you have

• 5+ years of work experience with programming languages such as Python, C++, or Java.

• 5+ years of work experience with machine learning frameworks ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing.

• 2+ years of work experience in conducting research in machine learning, natural language processing or computer vision.

• Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related field s

• 1+ years of team management experiences

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (

Role Location Annual Salary Range

California $132,500 to $338,300

Colorado $132,500 to $292,200

District of Columbia $141,100 to $311,200

Illinois $122,700 to $292,200

Minnesota $132,500 to $292,200

Maryland $132,500 to $292,200

New York/New Jersey $122,700 to $338,300

Washington $141,100 to $311,200

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) , send us an email ( or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Summary:

In this role, you will design and implement advanced real-time smart glasses algorithms on custom embedded computer vision/machine learning processors. You will then make them available to an extensive internal and external user community.

Required Skills:

Research Engineer, On-Device Contextual AI Responsibilities:

• Plan and execute engineering development to advance the state-of-the-art in machine perception research for Contextualized AI

• Collaborate closely with researchers, engineers, and product managers across multiple teams at Meta to design, architect and implement prototypes

• Debug complex, system-level, multi-component issues that typically span across multiple layers from sensor to application

• Lead major initiatives, projects, rollouts and phased releases

Minimum Qualifications:

Minimum Qualifications:

• Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience

• 5+ years experience working in large scale C++ and Python code base

• 5+ years of experience developing and prototyping machine perception algorithms

• Experience in implementing computer vision algorithms for efficient execution on embedded systems

• Experience developing, debugging, and shipping software products on large code bases that span platforms and tools

• Demonstrated experience working collaboratively in cross-functional teams

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

• Demonstrated examples of delivering an end-to-end system rather than a single component

Preferred Qualifications:

Preferred Qualifications:

• Experience with low-level programming (DSPs, MCUs, etc) and mobile accelerators

• Experience with device to cloud low latency applications

• Experience with mobile (Android or iOS)

• Experience in zero-to-one blank slate projects

• Experience with cloud edge computing

Public Compensation:

$85.10/hour to $251,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Video Standards Engineering

General Summary:

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for Video Compression Research Engineer positions. You will be part of world-renowned team of video compression experts. The team develops algorithms, hardware architectures, and systems for state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases. The successful candidate for this position will be a highly self-directed individual with strong creative and analytic skills and a passion for video compression technology. You will work on, but not be limited to, developing new applications of classical and machine learning methods in video compression improving state-of-the-art video codecs.

We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, preferred locations are USA, Germany and Taiwan.

Responsibilities:

• Contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video compression.

• Initiate ideas, design and implement algorithms for superior hardware encoder performance, including perceptually based bit allocation.

• Develop new algorithms for deep learning-based video compression solutions.

• Represent Qualcomm in the related standardization forums: JVET, MPEG Video, and ITU-T/VCEG.

• Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, etc.

Ideal candidate would have the skills/experience below:

• Expert knowledge of the theory, algorithms, and techniques used in video and image coding.

• Knowledge and experience of video codecs and their test models, such as ECM, VVC, HEVC and AV1.

• Experience with deep learning structures CNN, RNN, autoencoder etc. and frameworks like TensorFlow/PyTorch.

• Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of video coding or video processing.

• Solid programming and debugging skills in C/C++.

• Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics or similar field, or equivalent practical experience.

Qualifications:

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.

• 2+ years of experience with programming language such as C, C++, MATLAB, etc.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits :

$148,300.00 - $222,500.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .

If you would like more information about this role, please contact Qualcomm Careers ( .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification

We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are :

As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions.

The Work :

Development & Implementation:

• Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements.

• Translate research prototypes into production-ready code and scalable solutions.

• Optimize algorithms and models for performance, efficiency, and reliability in real-world applications.

Deployment & Integration:

• Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows.

• Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges.

• Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness.

Collaboration & Communication:

• Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives .

• Provide technical guidance and support to team members on AI development and deployment issues.

• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Research & Innovation:

• Stay current with the latest developments in AI research and technology, and apply relevant advancements to improve AI systems and models.

• Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement.

• Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA.

Here's what you need

• Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or related backgrounds

• Minimum of 4 years of work experience with programming languages such as Python, C++, or Java.

• Minimum of 4 years of work experience with machine learning algorithms and tools ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing.

Bonus points if you have

• 5+ years of work experience with programming languages such as Python, C++, or Java.

• 5+ years of work experience with machine learning frameworks ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing.

• 2+ years of work experience in conducting research in machine learning, natural language processing or computer vision.

• Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related field s

• 1+ years of team management experiences

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (

Role Location Annual Salary Range

California $132,500 to $338,300

Colorado $132,500 to $292,200

District of Columbia $141,100 to $311,200

Illinois $122,700 to $292,200

Minnesota $132,500 to $292,200

Maryland $132,500 to $292,200

New York/New Jersey $122,700 to $338,300

Washington $141,100 to $311,200

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) , send us an email ( or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Date Posted:

Country:

United States of America

Location:

MD720: 9861 Broken Land Pkwy Columbia 9861 Broken Land Parkway Suite 400, Columbia, MD, 21046 USA

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance:

DoD Clearance: Secret

BBN Technologies solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. Our team specializes in developing next-generation sensor system technologies by combining a fundamental understanding of the underlying EM physics including complex electromagnetic interactions and signatures, and propagation phenomenology, with a deep expertise in analysis, statistical signal processing, optimization, and machine learning We are currently searching for a highly qualified RF Signal Processing Research Scientist to join our team in Arlington, VA or Columbia, MD. Desirable candidates will have experience deriving and implementing research-grade algorithms and applying these to data collected from real sensors. Qualified candidates will have academic or professional experience in several of the areas listed below. We have an immediate need for synthetic aperture radar (SAR) expertise.

What You Will Do

• The position requires routine onsite presence at our Arlington, VA or Columbia, MD offices.

• Statistical signal processing:

• Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.

• Detection techniques including the Neyman-Pearson detection, probabilities of detection and false alarm, receiver operating curves, etc.

• Cyclostationary signal processing:

• CAF, SCF, SOF estimation.

• Computation of Cyclic Cumulants.

• Cyclic Feature Detection.

• Adaptive signal processing:

• Temporal and space-time adaptive processing.

• Interference covariance estimation techniques including both structured and reduced-rank techniques.

• Wiener filtering and on-line adaptive techniques such as LMS and RLS.

• Kalman filtering, particle filtering, and multi-hypothesis tracking.

• Machine learning and optimization for optimal control.

• RF propagation and signature modeling:

• Link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics.

• Antenna pattern estimation.

• Estimation of bistatic RCS.

• Sensing:

• Sparse array processing, beamforming, direction finding, filtering and tracking.

• Range-Doppler radar and synthetic aperture radar (SAR).

• Signal classification and recognition.

• Physical-layer communications:

• Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding.

• LPX waveform design.

• Multi-user detection.

Qualifications You Must Have

BS Electrical Engineering, Mathematics, or Physics plus 8+ years of relevant experience, or MS with 5+ years experience or Ph.D. plus 3+ years experience.

Experience with signal processing, including estimation, detection, etc.

Experience with RF modeling and sensing.

Ability to obtain a government security clearance.

Qualifications We Prefer - Familiar with all, Expert in some

• Position may require some overnight travel.

• Experience applying advanced methods, theories, and R&D techniques to solve difficult problems.

• Skillset to tackle research challenges proactively with minimal supervision and periodic check-ins with team leads.

• Experience leading small teams of technical contributors.

• Experience documenting plans and scientific findings with opportunities to present to government customers.

• An active government security clearance.

What We Offer

Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

• Relocation Assistance available

• This position is hybrid role at our Arlington, VA or Columbia, MD offices.

To help you achieve your goals, BBN will provide

• A strong leadership team well-versed in government R&D.

• A collaborative and collegial environment to push state-of-the-art research.

• Technically competent pool of research scientists who are willing to mentor, listen, and help you refine your research vision and goals.

• Business development, programmatic, contracting, finance, and HR support.

• Access, through RTX, to opportunities that help transition your research and ultimately see it fielded.

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

The salary range for this role is 112,000 USD - 224,000 USD. The salary range provided is a good faith estimate representative of all experience levels.

RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link ( to read the Policy and Terms

Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Summary:

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.

Required Skills:

Research Engineer, Language - Generative AI Responsibilities:

• Design methods, tools, and infrastructure to push forward the state of the art in large language models.

• Define research goals informed by practical engineering concerns.

• Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

• Work with a large and globally distributed team.

• Contribute to publications and open-sourcing efforts.

Minimum Qualifications:

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• Research experience in machine learning, deep learning, and/or natural language processing.

• Experience with developing machine learning models at scale from inception to business impact.

• Programming experience in Python and hands-on experience with frameworks such as PyTorch.

• Exposure to architectural patterns of large scale software applications.

• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

Preferred Qualifications:

• Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• A PhD in AI, computer science, data science, or related technical fields.

• Direct experience in generative AI and LLM research.

• First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

Public Compensation:

$70.67/hour to $208,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are :

As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions.

The Work :

Development & Implementation:

• Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements.

• Translate research prototypes into production-ready code and scalable solutions.

• Optimize algorithms and models for performance, efficiency, and reliability in real-world applications.

Deployment & Integration:

• Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows.

• Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges.

• Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness.

Collaboration & Communication:

• Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives.

• Provide technical guidance and support to team members on AI development and deployment issues.

• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Research & Innovation:

• Stay current with the latest developments in AI research and technology and apply relevant advancements to improve AI systems and models.

• Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement.

• Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA.

Here's what you need

• Bachelor's degree (or equivalent minimum 12 years' work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or related backgrounds

• 2 years of programming experience with programming languages such as Python, C++, or Java.

• 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.

Bonus points if you have

• 4 years of programming experience with programming languages such as Python, C++, or Java.

• 2 years of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.

• 1 years of experience in conducting research in machine learning, natural language processing or computer vision.

• Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (

Role Location Annual Salary Range

California $73,800 to $220,400

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Minnesota $73,800 to $190,400

Maryland $73,800 to $190,400

New York/New Jersey $68,300 to $220,400

Washington $78,500 to $202,700

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) , send us an email ( or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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Job Title & Requisition ID ID:22030-1? - Dev/Research Engineer 3 Estimated Start Date 9 October 2023 Building Location Mossville - Building H Remote Possibility No - onsite full-time Daily Schedule 7:30am-4pm Salary 65K Max Assets Caterpillar Laptop provided Job Description The main function of a research engineer is to research and investigate the design, functionality and maintenance of mechanical products, equipment, systems and processes. A typical research engineer has the ability to make engineering drawings, and read and interpret blueprints. Job Responsibilities: Research, design, develop, manufacture, and test tools, engines, machines and other mechanical devices. Research and analyze customer design proposals, specifications, manuals to determine time and cost feasibility to complete projects. Investigate equipment failures and difficulties to diagnose faulty operation and make recommendation to maintenance crew. Assist drafters in developing the structural design of products using tools, equipment or software. Skills: Creativity, verbal and written communication skills, analytical and problem solving ability. Team player and detail oriented. Ability to make sketches, engineering drawings and common computations. Ability to read and interpret blueprints, technical drawing, schematics and computer-generated reports. Previous experience with computer applications and software related to engineering field, such as Computer Aided Design (CAD). Education/Experience: Bachelor's degree in engineering required. 5-7 years experience required. Story Behind the Need - Business Group & Key Projects

• Position's Contributions to Work Group
• Team culture
• Surrounding team & key projects
• Purpose of this team
• Reason for the request

• Track Seal Testing and Development Use mechanical aptitude and hands-on skills to run and improve tests to measure wear on track seals to evaluate materials and designs; analyze data, draw conclusions and document results Coordinate with design, research and analysis leads to develop new tests and instrumentation to support development of new seal designs, materials and analysis (FEA) tools Manage the track seal lab area with a focus on safety; including procurement of supplies and materials as well as manage maintenance and technician support when needed.

• Backfill

• Typical task breakdown and rhythm
• Interaction level with team
• Work environment description

• Setting up and running mud box tests
  • Various lab test machines
  • Measuring instruments including microscopes and proprietary devices
• Writing reports detailing test process with conclusions and recommendations
  • Analyzing data and documenting processes and results
• Developing new test machines and processes
• Updating lab safety documentation, safety walks
• Updating standard test procedures.
• Submitting work orders to address safety and other issues

• Working independently and with a team including meetings with product group this test lab's work supports

• 50% lab, 50% office

• Years of experience required
• Degrees or certifications required
• Disqualifiers
• Performance indicators

• Bachelor's Degree in Engineering with 5 years of relevant experience

• Creativity and innovation
• Data analysis
• Ability to consistently run tests and develop new tests
• Skilled at documenting results/report writing
• Hands-on capability and mechanical aptitude
• Instron machine experience preferred

• Both oral and written communication
• Ability to work independently and with a team
• Ability to run update meetings on progress
• Ability to work with all skill levels
• Ability to be self-motivated and manage priorities to complete tasks

• Does not meet job requirements

We're on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! As a Research Engineer at Snorkel AI, you will bridge the gap between cutting-edge research and real-world AI systems. This is a hands-on role where you will prototype, build, and deploy innovative AI solutions-translating research breakthroughs into scalable, practical applications that solve real-world problems. Snorkel AI operates in a fast-paced, high-impact environment, where we move quickly to push the boundaries of what's possible. We're looking for someone who thrives on rapid iteration, solving open-ended challenges, and driving innovation from research into production. Location: Redwood City or San Francisco OR REMOTE Main Responsibilities

• Design, implement, and validate novel AI techniques for data developmentsuch as synthetic data generation, utilizing techniques such as LLM as a Judge
• Prototype and build end-to-end workflows, integrating research ideas into scalable systems.
• Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations.
• Move fast and adapt-iterating on solutions in response to new challenges, customer needs, and emerging research.
• Work closely with real-world design partners, testing solutions in applied settings with measurable impact.
• Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI's broader research initiatives and rapidly productionize prototypes.

• Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building.
• Experience in developing, experimenting, and deploying AI models at scale.
• Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.).
• Experience with software engineering best practices (e.g., clean coding, modular design, version control).
• Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs).
• Ability to work in a fast-moving, iterative environment, comfortable with ambiguity and open-ended challenges.
• A bias for action-willing to roll up your sleeves, experiment, and move quickly to solve problems.

Summary:

Meta is seeking a Research Engineer to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Engineer on the Robotics team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, and sharing this research with the world. You will play a crucial role in developing novel AI advances and deploying them onto robot platforms, and have the opportunity to drive the research in directions which improve robot performance. This role offers an exciting opportunity to work at the forefront of AI and robotics.

Required Skills:

Research Engineer FAIR (Robotics) Responsibilities:

• Work closely with researchers cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation.

• Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments.

• Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness.

• Effectively communicate complex features and systems in detail to diverse stakeholders.

• Publish research results and contribute to research that impacts Meta product development.

Minimum Qualifications:

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• 5+ years of industry experience, or advanced degree with equivalent experience.

• Experience in robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI.

• Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.

• Proficiency in programming languages such as Python, C++, or similar.

Preferred Qualifications:

Preferred Qualifications:

• PhD in computer science, robotics, AI, or related fields.

• 7+ years of industry experience, or advanced degree with equivalent experience.

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV).

• Proven knowledge of robotics fundamentals (perception, planning, control)

• Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.

• Experience building systems based on machine learning and/or deep learning methods.

• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

• Experience working and communicating cross functionally in a team environment.

• Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware.

• Experience designing and developing new robotic systems, platforms or infrastructure.

Public Compensation:

$85.10/hour to $251,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Country:

United States of America

Location:

CANHQ: CCS HQ - Syracuse, NY 6304 Carrier Parkway , East Syracuse, NY, 13057 USA

Staff Research Engineer, Systems Engineering - Innovation & Strategy

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit ( or follow Carrier on social media ( .

About this Role

Carrier is looking for talented and motivated engineers who will be a part of Carrier's Innovation Hub Americas, to enable the development of innovative and novel Energy technologies in HVAC&R (Heating, Ventilation, Air-Conditioning, and Refrigeration) applications. Innovation Hub Americas is in Syracuse, which is the North American center for Carrier's product design and development, as well as groundbreaking innovative research. We ideate, design, verify and validate new products and technologies across Carrier's global portfolio, supporting Carrier's goal to be the global leader in intelligent climate and energy solutions.

This staff research engineer will be part of the team working on the development of novel energy management systems (EMS) in support of Carrier's plan to develop the next generation of intelligent energy solutions. Their focus will be on maturing early-stage technologies as relevant to electrical and/or mechanical systems that enable electrification and energy management. They would be responsible for design, testing, and validation of these novel EMS systems leading to technology maturation for product insertion.

Key Job Responsibilities

• Develop, design and validate alternatives to the current status quo in EMS+HVAC technologies and associated systems considering all aspects of the system such as architecture, performance, components and materials selection, cost, manufacturability, safety, regulatory compliance and reliability.

• Develop Energy Management System architectures with novel technologies using analytical and model-based design tools and methodologies.

• Identify risks and develop mitigation plans by working with multidisciplinary teams, SMEs and stakeholders to drive and implement appropriate risk reduction methodologies.

• Design at-scale experimental setups for demonstrating performance and risk mitigation while ensuring that the critical characteristics and timelines are met.

• Validate multiscale model-based predictions through experimentation and analysis.

• Develop technology value proposition by analyzing system performance against KPIs such as load capacity, efficiency, reliability etc. while meeting initial and operational cost targets.

• Develop robust IP strategies to patent new technologies and ensure our freedom to practice.

• Support the identification, creation and growth of disruptive technology project pipelines, aligned with themes energy management.

• Review journals, patents and publicly available data to synthesize technical feasibility and risks, as well as propose strategies.

• Collaborate and coordinate with global team members, other functions with Carrier and external partners/universities.

Required Qualifications

• Master's degree in Mechanical, Aerospace or Automotive, Thermal or Chemical or Systems Engineering.

• 5 years of experience in thermal engineering, electrical engineering, or systems engineering related to technology development.

• 3 years of experience in any of the areas of heat transfer, thermodynamic cycles, fluid dynamics, electrical systems and components, or system level design, analysis, and testing.

• 3 years of experience in working with physics-based modeling tools (CFD, FEA, System modeling).

• 3 years of experience in developing system and component level testing protocols for technology performance demonstrations.

Preferred Qualifications

• PhD in Mechanical, Aerospace, Thermal, Electrical, or Systems Engineering, or similar

• 4 years of working experience in HVAC&R, EMS, or adjacent related industrial application

• 2 years of experience with electrical systems and high voltage systems, both AC and/or DC.

• 2 years of experience with energy storage systems, electrical or others.

• Deep understanding of HVAC&R systems, thermodynamic cycles and psychrometric analysis

• Ability to work with others on design teams to understand and translate design and process engineering requirements into components, sub-systems and products

• Demonstrated experience in identifying novel technologies and performing value assessment for product

• Familiarity with technology development process, including NASA/ISO 16290 technology readiness levels (TRLs)

• Familiarity with function, components and modeling of electromechanical HVAC systems including heat exchangers, compressors, motors and structural elements or similar systems.

• Work in psychrometric chamber set-up and troubleshooting.

• Experience with design of experiments, test rig design, measurement system identification and implementation, instrumentation requirements development, measurement uncertainty analysis, test rig commissioning, conducting multiparameter input testing, troubleshooting systems, test data reduction and validation

• Familiarity with specialty software for analysis, tracking and simulation (Minitab/JMP, COMSOL, LabVIEW, Ansys/Nastran FEA, etc.).

• Team oriented personality, capability to work well in multi-disciplinary and multi-cultural teams.

• Must be self-driven and capable of leading development projects autonomously, while gathering feedback from appropriate experts and stakeholders.

• Balance significant workload (support multiple projects, lead several projects). Propose priorities and readily shift activities to maximize impact.

• Expertise in development computational models for component and system level.

• Familiarity with using HPC and cloud-based platforms for computation at scale.

• Familiar with system optimization techniques and their application to modeling and system design

RSRCAR

Pay Range:

$90,263 - $157,959 Annually

Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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Click on this link ( to read the Job Applicant's Privacy Notice

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

• Using accepted methods and techniques, lead with the design, development, and implementation of RF propagation models including environmental effects such as space weather and meteorology. Also, you will lead teams using RF propagation models to analyze the effectiveness of engineering products, systems, and subsystems.
• Develop novel techniques in RF propagation including new mathematical derivations of both electromagnetic phenomena and relevant environmental factors such as radio space weather and meteorology.
• Lead RF propagation experiments/tests in the laboratory/field to test, prove, or modify theoretical propositions on basis of research findings and experiences of others researching in related technical areas; includes taking measurements and recording observations, collecting, compiling, and processing data.
• Document data/findings in technical reports, documents, or oral/written presentations.
• Create opportunities to improve RF propagation modeling and analysis capability either extending existing capability, developing new methods, or diversifying into new applications.
• Provide innovative problem-solving approaches to enhance RF propagation modeling and analysis capabilities; use peer network to expand technical capabilities and identify new research opportunities.
• Understand broad strategic objectives and applications of RF propagation modeling and analysis and contribute; nurture and maintain relationships with major sponsors of external research and develop grant funding.
• Research and identify follow-on research projects and/or initiate new project concepts; develop technical proposals; and make presentations to customers.

• Proven successful experience leading a research team.
• Ability to conveying information to drive action or decision.
• Manage multiple and/or large RF Propagation and analysis projects.
• May chair sessions at technical meetings; give papers and/or presentations; participate in external seminars, workshops, professional societies, and committees.
• Mentor staff in the development of technical, project, and business development skills.
• Make substantial contributions to determining feasibility of goals/objectives; evaluate proposed or ongoing projects.

• Experience in RF Propagation mathematical methods, implementation of new and established methods, and application of methods to solve specific problems
• Demonstrated ability to document research findings in whitepapers and technical reports
• Proven experience implementing scientific or technical solutions independently with guidance from mentors
• Demonstrated understanding and experience with end to end design, implementation, and testing of technical and scientific solutions
• Effective at presenting in front of large groups of senior level professionals
• Opportunity to develop and write white papers
• Any software/experiences that ARE necessary to be offered the position/must be held by candidate: fluent in multiple various scientific programming languages from Matlab, Python, C++, and FORTRAN; proven ability to read and understand complex applied mathematics and numerical implementations

• Current active security clearance
• Any specific software/experiences that are NOT necessary to be offered the position, but can be learned: ability to learn new programming languages and tools, mathematical techniques and numerical implementations

University of Nebraska-Lincoln Employment Website Please see Special Instructions for more details. Click on Apply for this Job . You will then either create an application or edit your current application that is on file. You will be required to attach your resume, cover letter and list of references as three (3) separate documents in MS Word or PDF format. Position Information Working Title: Robotics Research Engineer Department: School of Computing-9301 Requisition Number: S_Posting Open Date: 02/15/2024 Application Review Date: 02/26/2024 (To ensure consideration, please submit all application materials before review date) Posting Close Date: Open Until Filled Description of Work The NIMBUS Lab is seeking to hire a full-time temporary robotics research engineer to assist faculty researchers with meeting deliverables on multiple externally-funded research projects. This temporary appointment may be renewable, pending funding availability. The position requires the ability to develop and field test robotic systems including those for unmanned aerial vehicles (UAVs), provide leadership to research teams comprised of undergraduate and graduate students, and work alongside faculty members to prepare technical reports and publications. This position will manage and coordinate assigned research projects and supervise laboratory facilities within the College of Engineering in support of the Nebraska Intelligent MoBile Unmanned Systems (NIMBUS) Lab. Responsibilities include coordinating day-to-day facility use, instructing and supervising students in the use and operation of laboratory equipment, and maintaining laboratory equipment. The role also involves assisting with research reports, managing data acquisition, and leveraging this data for tables, figures, etc. in support of refereed journal articles, conference papers, and research summaries. The NIMBUS Lab is a leader in field robotics with a focus on developing unique capabilities for Unmanned Aerial Systems (UAS). Our capabilities span electrical, mechanical, computing, autonomy, and human factors to build end-to-end solutions for custom single- and multi-agent UAS missions. Our organization is led by three tenured professors with over 40 years of experience deploying UAS in field operations. The University of Nebraska-Lincoln seeks to attract and retain a high performing and collaborative workforce. UNL is committed to providing a work environment and culture that fosters personal and professional success. As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See: Minimum Required Qualifications Minimum of a Bachelor's degree in engineering, computer science, or related field, plus two years of experience in robotics industry or laboratory setting. Supervisory skills and knowledge of engineering design, fabrication techniques, and computer operation and data analysis are required. Experience must demonstrate excellent verbal and written communication skills. Ability to follow directions, multi-task, manage a research project with limited supervision, and work well in a team-oriented format. Candidates must be US Citizens, Permanent Residents, Refugees or Asylees in order to work on projects subject to Export Control regulations. Preferred Qualifications Preference for a Master's degree in mechanical, electrical, or computer engineering, or computer science. Proficiency in control design, circuit board design, C/C++ software development, and analysis of mechatronic or robotic systems is preferred. Additional Requirements Criminal History Background Check Required: Yes Commercial Driver's License (CDL) required: Yes, subject to DOT approved pre-employment & random testing for alcohol and controlled substances. Posted Salary $87,000/yr. minimum How to Apply Click on Apply for this Job . You will then either create an application or edit your current application that is on file. You will be required to attach your resume, cover letter and list of references as three (3) separate documents in MS Word or PDF format. For questions or accommodations related to this position, contact Job Type Full-Time Temporary Work Location Lincoln, NE Position Funding Yes, position funded by grant or other form of temporary funding. Appointment Dates Planned Hire Date: 06/01/2024 Appointment End Date: 08/31/2025 Supplemental Questions Required fields are indicated with an asterisk ( ).

Summary:

At Meta's Reality Labs, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside industry-leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. We are a world-class team of researchers and engineers creating the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect.We are developing all the technologies needed to enable breakthrough Smartglasses, AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.The Audio team at Meta Reality Labs is looking for a Research Engineer to lead on the design and development of large-scale data collection and processing systems to enable research & development of audio AR & VR technologies. You will be providing technical direction for engineers on the team and working closely with other researchers and engineers building novel computational & machine learning systems.

Required Skills:

Research Engineer - Audio Data Collection Team Responsibilities:

• Ownership and leadership on design and development of data collection systems, solving unique engineering challenges in creating complex multi-modal systems used in large-scale human-oriented data collection.

• Design and implementation of tooling for data processing, visualization and management.

• Influencing the team-wide strategy for data collection and associated ML system and model training and evaluation with innovative engineering approaches to meet varied and evolving needs.

• Data analysis with great attention to detail to identify future data quality improvements.

• Learning constantly, diving into new areas with unfamiliar technologies, and embracing the ambiguity of AR/VR problem solving.

Minimum Qualifications:

Minimum Qualifications:

• 6+ years of experience in the design, development, integration and testing of systems featuring hardware and software

• 3+ years experience with Python

• 2+ years experience of providing technical leadership, setting direction for other engineers

• Experience with networking and shell scripting

• Experience with interpersonal skills working effectively across groups and disciplines

• Bachelor's degree or equivalent experience in Electrical Engineering, Computer Science or a related field

Preferred Qualifications:

Preferred Qualifications:

• Experience working with audio

• Experience developing large data collection systems and datasets for machine learning, including systems for capturing, processing, annotating and storage

• Experience with early stage research and rapid prototyping

• Understanding of visual and other sensors (e.g. motion capture and IMU), with experience in sensor and camera calibration

• Understanding of 3D mathematics, applied linear algebra and applied statistics

Public Compensation:

$170,000/year to $240,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Duties The Senior Associate Director of Pharmaceutical Brand Market Research will have primary responsibility for all aspects of market research and business analyses for assigned brands/TAs, including but not limited to: Identify market research (MR) needs for the business (immediate and multi-year planning) Develop MR plans leveraging appropriate research methodologies to fill those needs Design, execution and interpretation of MR studies and the clear communication of the insights and recommendations arising from the research Be the subject matter expert on past, current and potential insights needed for the product/project Analyze & report syndicated, secondary market data for performance measurement and market understanding Utilize a full spectrum of survey insights and syndicated data to answer complex business questions. This includes compilation of an insights story from multiple data sources, create presentations and deliver it with confidence Support/guide analytical business questions for projects run by other A&I colleagues Work with all vendors to ensure every step of each project is aligned with business objectives, achieving the highest level of insights, and following all regulatory requirements and delivering actionable insights Manage all work within the specified overall budget and complete all necessary paperwork to gain authorization with all aspects of each project Coordinate/collaborate with other Analytics & Insights co-workers to deliver unified support for Marketing clients and senior leadership Lead without authority in a complex organization Ability to quickly demonstrate full product, customer and performance knowledge and actively participate in planning sessions. Clearly demonstrate impact/influence on direction of responsible product's marketing plans, strategies and tactics Skills/Requirements Minimum Requirement of 10 years working within a large product marketing corporation specifically in the role of market research with primary responsibility for generating, organizing and presenting market research insights Minimum Requirement of 10 years working in support of pharmaceutical brand marketing research In-depth knowledge of all qualitative and quantitative market research techniques Demonstrated experience managing the regulatory and ethical requirements of pharmaceutical market research & data protection Prefer candidates with experience exploring cardiology and primary care specialist marketing cardiac and/or diabetic conditions High level skills with Microsoft Office (PPT, Outlook, Word, Excel) US based workers only Ability to work during Eastern Time Zone business hours Seeking candidates who can start immediately Education Bachelor's degree required

• Research and analyze company fundamentals and industry data
• Prepare written company and industry research reports
• Support recommendations with a clear and concisely articulated investment thesis and support materials
• Monitor news flow related to existing holdings and report pertinent information on a timely basis
• Proactively communicate with internal stakeholders on an ongoing basis
• Support ad hoc requests from financial advisors and clients

• Completion of a four-year college degree
• 3 to 7 years' experience working in Investment Research

• Strong preference for CFA certification (or significant progress toward obtaining certification)
• Data Science background and/or experience with AI highly desired
• Familiarity with research systems such as Bloomberg, FactSet, and Microsoft Office Suite
• Strong analytical and critical thinking skills with attention to detail
• Insatiable curiosity for knowledge in the industry
• Strong verbal and written communication skills
• Understanding of a diverse and comprehensive research process

• Employee ownership opportunities
• Brick Bonus success sharing program
• Comprehensive health coverage + Personify wellness platform
• 401(k) program with a 5% employer match + financial planning for colleagues
• Salary Range: $82,000 - $135,000

• Ability to build successful, collaborative, and trusting relationships
• Instinctive aptitude for consistently creating accurate, concise, respectful, and easy-to-understand verbal and written communications conveying complex information
• A strong sense of urgency about getting work done and solving problems to achieve results that benefit our clients and colleagues, even when faced with challenges
• Inherent desire to give back to our communities and enrich the lives of those around us
• An other-centered mindset
• Integrity through maintaining objectivity

Joining Cyberhaven offers a unique opportunity to revolutionize data protection through cutting-edge AI technology. Cyberhaven is dedicated to overcoming the challenges faced by traditional data security products, ensuring robust protection of critical data against insider threats in a rapidly evolving work environment. With a unique approach to data lineage, tracing data from its origin for better classification and protection, Cyberhaven combines the functionality of traditional data protection security tools into a single, more effective solution. About the role We're looking for a passionate, artificial intelligence research engineer to help build groundbreaking applications of artificial intelligence in cybersecurity. We have exclusive datasets available for training and are employing novel techniques, such as graph neural networks, and transformers to analyze them. Our technology is new and rapidly evolving, and you'll have a chance to be an early contributor at a Series D-sized company with a substantial impact on the solution. What you'll do

• You'll apply both proven and cutting-edge machine learning technologies to build innovative solutions to solve hard, but critical, problems in the cybersecurity domain
• You'll see the near-term impact of your work, working with real customers and real data starting from the early prototyping phase
• You'll work in a small research and development team directly with the company CTO, tightly collaborating with the core product team to rapidly turn prototypes into products that help customers protect their data against ongoing real-world threats

• Passionate about cybersecurity and AI
• You have a strong track record in applying AI to solve real-world problems in either research or industry settings
• You're creative and looking for innovative solutions but focused on solving important practical problems and ensuring your solution works in the real world
• Experience working with LLMs (building RAG pipelines, agents, or similar)
• Experience using pytorch and/or tensorflow, huggingface, and similar frameworks
• Solid understanding the technology behind LLMs (probability theory, transformers, embeddings, etc.)
• You have excellent verbal and written communication skills in English

• Experience with deep learning research, peer-reviewed papers, or a Ph.D. degree
• Blogs, articles or conference talks about cybersecurity or AI
• Experience with Anomaly Detection

• Competitive salary and stock options
• Health benefits - 100% paid for you and your family
• Flexible time off (paid)
• Career advancement opportunities
• Compensation Range: $225 - $250k

• Think Deeply and Use Sound Reasoning
• Step Up and Take Ownership
• Continuously Learn and Grow
• Obsess About Customers
• Enjoy the Journey
• Reach for Ambitious Goals

SC Solutions, Inc. (SC), an affiliate company of Structural Integrity Associates, Inc., is seeking to hire a Control Systems/Mechatronics engineer for our Portland, OR office. As a member of our Control Engineering team, you will be part of an experienced multidisciplinary group providing feedback control solutions to our customers in real-time, model-based control systems. You will contribute to analysis, simulation, design, and implementation of such high-performance control systems. Our primary application is in process equipment control in semiconductor and advanced materials fabrication, but we also serve other industries such as aerospace, energy and transportation. We also perform cutting-edge Federally funded research (e.g., in quantum control) where we have a strong record of collaboration with the academic research community and National Labs. A strong background in multivariable (MIMO) feedback/feedforward control system design and software development skills are required. Experience with using MATLAB and a working knowledge of Simulink is also required. A good understanding of optimization techniques and algorithms is preferred. A more detailed list of job responsibilities and qualifications is given below. SC provides a stimulating environment for professional growth through its involvement in a wide range of control and modeling applications. Aided by your enthusiasm and willingness to continually explore and learn new areas, your work at SC will help develop your analytical skills and independent engineering judgment, as well as being a team player as you navigate challenging control problems. You will have the opportunity to develop new lines of business by writing proposals and by developing industry contacts. We maintain a collegial and flexible work environment which has led to our excellent employee retention record. Primary Responsibilities: Conduct multi-input multi-output (MIMO) control design, simulations, data analysis and algorithm development and controller implementation for a wide range of systems. Responsibilities include:

• Performing data analysis and signal processing to condition data.
• Developing models in MATLAB/Simulink and running simulations with them to match customer data.
• Performing MIMO model-based control design using MATLAB/Simulink and tools developed in-house.
• Performing software development tasks such as algorithm development, coding and debugging, implementation on hardware platforms, and simple graphical user interface (GUI) design.
• Performing engineering analyses, writing reports, and preparing presentations for clients.
• Assisting in project delivery, technical task management, project management, and proposal writing.

• U.S. Citizenship is required (for federal contracts)
• Degree in Aeronautics and Astronautics, Electrical, Mechanical, Chemical Engineering, or related engineering field.
• Experience with advanced multivariable (MIMO) control design techniques.
• Proficiency in the use of scripting tools for engineering computations, such as MATLAB/Simulink, and software development in C, C++, C# or Python.
• Good technical writing and verbal communications skills.
• Strong planning and organizational skills are needed to complete assignments within budget and schedule to the satisfaction of customers.
• Willingness to travel occasionally to customer sites.

• Strong understanding of optimization techniques and algorithms is preferred.
• Two or more years of experience in Systems & Control Engineering is desirable.
• Experience with real-time and embedded systems is a plus.

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

• Design and analyze mechanical, fluid-flow, and heat transfer components for thermal power plants and other energy conversion systems.
• Assist with component and subsystem test planning, test execution, and test documentation.

• A degree in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Engineering Mechanics, or similar engineering discipline
• Experience with one or more of the following is highly desired: material selection, structural design, gears, bearings, pumping elements, heat exchangers, fluid delivery systems, thermal cycles and combustion
• Possess the ability to express yourself and ideas successfully to others in order to provide understanding
• Past success in providing ideas in written form for clear comprehension to an audience.
• Must be eligible to obtain a security clearance for access to classified information and be subject to a government background investigation

• Proficiency with solid-modeling CAD software (Unigraphics/Seimens NX preferred)
• Knowledge of standard drafting practices including geometric tolerances

Summary:

Meta Reality Labs is looking for a Research Engineer to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively using electromyography (EMG). Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, and human-computer interaction. We're looking for people who want to shape the future of this technology and are excited about joining our collaborative research team. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the potential of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.

Required Skills:

Research Engineer - Reality Labs Responsibilities:

• Research and develop Deep Learning or other computational models with at least one of Computer Vision, and EMG signal processing.

• Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets.

• Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques.

• Define short-term research goals, informed by practical engineering concerns.

• Help transition and deliver our work from research into product.

• Adapt standard machine learning methods to best utilize modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications:

Minimum Qualifications:

• Experience with developing machine learning models at scale from inception to business impact.

• Research experience in machine learning and deep learning.

• Programming experience in Python and hands-on experience with frameworks such as PyTorch.

• Exposure to architectural patterns of large scale software applications.

• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

• Masters degree in Computer Science, Computer Engineering, or relevant technical field.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:

Preferred Qualifications:

• Ph.D. degree and publications in machine learning, signal processing, electrical engineering, computer science, statistics, physics, or related fields.

• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).

• Experience with rapid prototyping and disciplined software development processes.

• Experience with productizing new research results.

Public Compensation:

$85.10/hour to $251,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

• Design and advance AI models and system innovations in close collaboration with cross-functional teams, including Product Management, Software Engineering, and Pre-Sales-to ensure high-quality performance and delivery.
• Develop Focused Language Models, which are LLMs designed to solve our customers' business problems in areas such as fraud, collections, financial services operations, financial education and FICO Platform software. Implement novel architectures (transformers and others), optimizing distributed training pipelines (Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business-relevant benchmarks.
• Communicating to high-level stakeholders internally and externally.
• Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge machine learning techniques.
• Guide and mentor scientists to support their career development.
• Drive innovation and inorganic growth of new and existing products through offering and promoting refined ideas.

• Excellent software engineering skills, experience in Python, Rust and/or C++.
• Experience with pre/post training of modern AI architectures (transformers, encoders, decoders, diffusion).
• Real-world experience with distributed systems and concurrency.
• Experience with Reinforcement Learning (RL), Simulation and/or Synthetic Data Generation.
• Prior experience managing, scaling and delivering high-quality, on-time AI/ML projects.
• MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or related fields.
• Requires full-time, on-site presence at the FICO office in San Diego, CA.
• Willingness to travel up to 10%.

• An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
• The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
• Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
• An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
• The targeted base pay range for this role is: $167,000 to $262,000 with this range reflecting differences in candidate knowledge, skills and experience.

Research Engineer, Language - Generative AI Join to apply for the Research Engineer, Language - Generative AI role at Meta Research Engineer, Language - Generative AI 2 weeks ago Be among the first 25 applicants Join to apply for the Research Engineer, Language - Generative AI role at Meta This range is provided by Meta. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $70.67/yr - $208,000.00/yr Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Research Engineer, Language - Generative AI Responsibilities: Design methods, tools, and infrastructure to push forward the state of the art in large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute to publications and open-sourcing efforts. Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming experience in Python and hands-on experience with frameworks such as PyTorch. Exposure to architectural patterns of large scale software applications. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. A PhD in AI, computer science, data science, or related technical fields. Direct experience in generative AI and LLM research. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at $70.67/hour to $208,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Meta by 2x Sign in to set job alerts for Research Engineer roles. Redwood City, CA $140,000.00-$180,000.00 2 months ago Research Engineer / Research Scientist - Deep Research San Francisco, CA $56.25-$173,000.00 3 days ago San Francisco, CA $105,000.00-$165,000.00 2 months ago Research Scientist, Design and Simulation Research Engineer / Research Scientist - Agents Research Engineer/Scientist, Strategic Deployment Chemical Engineer, Reaction and Process Development Research Engineer - Machine Learning (ML) San Francisco, CA $160,000.00-$220,000.00 1 year ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Antennas , Computational Electromagnetics, and Propagation Department of the Applied Research Laboratory at Penn State is seeking an experiencedResearch and Development Engineer tomanage complex RF Propagation projects, contribute to customers' strategic objectives,mentor staff, and develop relationships to seek funding from potential donors.The primary research focus is RF Propagation from ELF to millimeter wave.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

• Manage multiple and/or large RF Propagation and analysis projects

• Using accepted methods and techniques, lead with the design, development, and implementation of RF propagation models including environmental effects such as space weather and meteorology. Additionally, the candidate will lead a teams using RF propagation models to analyze the effectiveness of engineering products, systems, and subsystems

• Develop novel techniques in RF propagation including new mathematical derivations of both electromagnetic phenomena and relevant environmental factors such as radio space weather and meteorology

• Lead RF propagation experiments/tests in the laboratory/field to test, prove, or modify theoretical propositions on basis of research findings and experiences of others researching in related technical areas; includes taking measurements and recording observations, collecting, compiling, and processing data

• Document data/findings in technical reports, documents, or oral/written presentations

• Make substantial contributions to determining feasibility of goals/objectives; evaluate proposed or ongoing projects

• Create opportunities to improve RF propagation modeling and analysis capability either extending existing capability, developing new methods, or diversifying into new applications

• Provide innovative problem-solving approaches to enhance RF propagation modeling and analysis capabilities; use peer network to expand technical capabilities and identify new research opportunities

• Understand broad strategic objectives and applications of RF propagation modeling and analysis and contribute; nurture and maintain relationships with major sponsors of external research and develop grant funding

• Research and identify follow-on research projects and/or initiate new project concepts; develop technical proposals; and make presentations to customers/grant sponsorsfor funding

• May chair sessions at technical meetings; give papers and/or presentations; participate in external seminars, workshops, professional societies, and committees

• Mentor staff in the development of technical, project, and business development skills

Minimum requirements include a Bachelor's degree (Master's degree preferred) in an Engineering or Science discipline, plus 14+ years related experience.

Required skills include:

• Experience in RF Propagation mathematical methods, implementation of new and established methods, and application of methods to solve specific problems

• Proven successful experience leading a research team

• Effective at presenting in front of large groups of senior level professionals; conveying information to drive action or decision

• Past successful experience developing technical proposals, writing whitepapers, etc.

• Any software/experiences that ARE necessary to be offered the position/must be held by candidate: fluent in multiple various scientific programming languages from Matlab, Python, C++, and FORTRAN; proven ability to read and understand complex applied mathematics and numerical implementations

Preferred skills include:

• Current active security clearance

• Any specific software/experiences that are NOT necessary to be offered the position, but can be learned: ability to learn new programming languages and tools, mathematical techniques and numerical implementations

Position can allow for hybrid on-site/work from home in the State College, PA area.

ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.

You will be subject to a government security investigation. An active security clearance is highly desired. You must be a U.S. Citizen to apply. Employment with ARL will require successful completion of a pre-employment drug screen.

FOR FURTHER INFORMATION on ARL, visit our web .

The salary range for this position, including all possible grades is:

Salary Structure - additional information on Penn State's job and salary structure.

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

Employment with the University will require successful completion of background check(s) in accordance with University policies.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact .

Federal Contractors Labor Law Poster

PA State Labor Law Poster

Penn State Policies

Copyright Information

Hotlines

• Function as one of the Mixing Technology teams Subject Matter Experts (SMEs) in the field of fluid mixing, offering expertise in the candidates established area of practice while building and expanding expertise in new areas of practice once on board.
• Collaborate directly with Mixing Technology team members (i.e., engineers and technicians) on customer consulting, strategic initiatives, and applied R&D projects such as customer process optimizations and scale-up, correlation development for mixer sizing, and impeller technology development.
• Collaborate cross-functionally with Application Engineering, Commercial, Aftermarket, and other departments to serve customers and provide premium mixing solutions.
• Scope customer and internal projects by interpreting stakeholder needs, draft proposals with sound project plans, and execute projects and deliver outcomes that achieve stakeholder satisfaction.
• Complete fluid mixing projects utilizing a combination of theoretical calculations, physical experimentation, and/or computational simulation.
• Support cross-functional colleagues on technical topics such as sizing and selection of mixers, performance guarantees, and process troubleshooting.
• Act as an organizational resource and mentor, developing less experienced talent in fluid mixing or relevant adjacencies.
• Represent the organization professionally and demonstrate technical expertise through written publications and oral conference presentations while building relationships across the international fluid mixing community.
• Possess a masterful understanding of Mixing Solutions family of impeller technology, process sizing procedures, and product offerings.
• Remain apprised of competitors technology, key application technology development, and academic advancements in fluid mixing.
• Travel at a quarterly cadence to visit organizational locations, attend conferences, and visit customers, internationally as needed. Seek to match organizational needs and candidate interests with opportunities. 10% travel expected.

• Ability to work independently and in groups productively is required.
• Reading, interpreting, and applying written documentation such as scientific and technical journals, safety rules, operating and maintenance instructions, and test procedures is required.
• Reading, comprehending, and authoring technical reports and correspondence is required.
• Reading and comprehending basic legal and financial language in support of customer projects and core business operations is required.
• Strong written and verbal communication skills, including the ability to speak effectively before groups of customers or employees, is required.
• Basic math skills, including calculating and manipulating figures and amounts such as fractions, percentages, ratios, areas, circumference, and volumes, as well as using and converting units of measurement, are required.
• Advanced math skills, including the application of differential equations, calculus, algebra, and geometry, are required.
• Ability to interpret instructions furnished in written, oral, diagram, and/or schedule form is required.
• Project and team leadership competencies, including influential management, team building, and professional conflict resolution, are required.
• Fluency in English is required. Additional language fluency is welcome.
• Use of Microsoft products including Outlook, Teams, SharePoint, Word, Excel, and PowerPoint is required.
• Physical operation, testing, and experimentation, specifically involving fluid mixing equipment is preferred.
• Computational fluid dynamics (CFD) modeling, specifically involving fluid mixing equipment using ANSYS Fluent and/or MStar CFD, is preferred
• A sound background in fluid dynamics is preferred.
• Engineering project management experience is preferred.

• 5+ years of experience with fluid mixing equipment or their relevant process industries such as chemicals, mining and minerals, environmental, pharmaceutical, and/or food and beverage is required.
• Bachelors degree in Chemical Engineering or similar field is required.
• Graduate degree (Masters and/or Doctoral) in Chemical Engineering, Mechanical Engineering, or similar field is required.
• Experience authoring published articles and conference presentations is preferred.
• Experience developing intellectual property (e.g., trade secrets and patents) is preferred.
• Relevant professional licensure and certifications are welcome.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Industrial Machinery Manufacturing

Summary: At Meta's Reality Labs, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside industry-leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. We are a world-class team of researchers and engineers creating the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect.We are developing all the technologies needed to enable breakthrough Smartglasses, AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.The Audio team at Meta Reality Labs is looking for a Research Engineer to lead on the design and development of large-scale data collection and processing systems to enable research & development of audio AR & VR technologies. You will be providing technical direction for engineers on the team and working closely with other researchers and engineers building novel computational & machine learning systems. Required Skills: Research Engineer - Audio Data Collection Team Responsibilities: 1. Ownership and leadership on design and development of data collection systems, solving unique engineering challenges in creating complex multi-modal systems used in large-scale human-oriented data collection. 2. Design and implementation of tooling for data processing, visualization and management. 3. Influencing the team-wide strategy for data collection and associated ML system and model training and evaluation with innovative engineering approaches to meet varied and evolving needs. 4. Data analysis with great attention to detail to identify future data quality improvements. 5. Learning constantly, diving into new areas with unfamiliar technologies, and embracing the ambiguity of AR/VR problem solving. Minimum Qualifications: Minimum Qualifications: 6. 6+ years of experience in the design, development, integration and testing of systems featuring hardware and software 7. 3+ years experience with Python 8. 2+ years experience of providing technical leadership, setting direction for other engineers 9. Experience with networking and shell scripting 10. Experience with interpersonal skills working effectively across groups and disciplines 11. Bachelor's degree or equivalent experience in Electrical Engineering, Computer Science or a related field Preferred Qualifications: Preferred Qualifications: 12. Experience working with audio 13. Experience developing large data collection systems and datasets for machine learning, including systems for capturing, processing, annotating and storage 14. Experience with early stage research and rapid prototyping 15. Understanding of visual and other sensors (e.g. motion capture and IMU), with experience in sensor and camera calibration 16. Understanding of 3D mathematics, applied linear algebra and applied statistics Public Compensation: $170,000/year to $240,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

As MLE on Luma's Data team you are responsible for raising the bar for our data quality. Data is the critical foundation of our products, and we are looking for individuals who can identify creative approaches to data and captioning and then implement solutions for processing at PB scale. Good candidates should have exceptional general python engineering skills alongside a combination of industry ML experience, Data experience, and passion for building AI products. Responsibilities

• Design data pipelines, including finding appropriate data sources, scraping, filtering, post-processing, de-duplicating, and versioning. The system should be robust and scalable for production use.
• Design and implement frameworks to evaluate the effectiveness of our models and data. For example, set up the standards for an automated evaluation pipeline to run before any new model gets deployed into the API.
• Work closely with research and product teams who might be data contributors or consumers to incorporate their data usage needs on a variety of tasks.
• Conduct open-ended research to improve the quality of collected data, including but not limited to, semi-supervised learning, human-in-the-loop machine learning and fine-tuning with human feedback.

• 5+ years of relevant experience or demonstration of high impact projects as a Data Engineer, Machine Learning Engineer, or Data Scientist, dealing with large amounts of data on a daily basis.
• Good to have experience with visual media and computer vision algorithms.
• Have a strong belief in the criticality of high-quality data and are highly motivated to work with the associated challenges.
• Experience with end to end training ML pipelines.
• Have experience working in large distributed systems.
• Strong generalist Python and Pytorch skills.

• The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are :

As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions.

The Work :

Development & Implementation:

• Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements.

• Translate research prototypes into production-ready code and scalable solutions.

• Optimize algorithms and models for performance, efficiency, and reliability in real-world applications.

Deployment & Integration:

• Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows.

• Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges.

• Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness.

Collaboration & Communication:

• Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives.

• Provide technical guidance and support to team members on AI development and deployment issues.

• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Research & Innovation:

• Stay current with the latest developments in AI research and technology and apply relevant advancements to improve AI systems and models.

• Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement.

• Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA.

Here's what you need

• Bachelor's degree (or equivalent minimum 12 years' work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or related backgrounds

• 2 years of programming experience with programming languages such as Python, C++, or Java.

• 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.

Bonus points if you have

• 4 years of programming experience with programming languages such as Python, C++, or Java.

• 2 years of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.

• 1 years of experience in conducting research in machine learning, natural language processing or computer vision.

• Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (

Role Location Annual Salary Range

California $73,800 to $220,400

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Minnesota $73,800 to $190,400

Maryland $73,800 to $190,400

New York/New Jersey $68,300 to $220,400

Washington $78,500 to $202,700

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) , send us an email ( or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

• Lead the design, analysis, and fabrication of cutting edge space instrumentation, mechanisms, and spacecraft hardware to enable the next generation of spaceflight exploration.
• Work in multidisciplinary project teams to support the full lifecycle of hardware development.
• Interface with customers, and support design reviews to justify design decisions.
• Support and lead R&D and promotional efforts to develop and implement new technologies.

• Lead detailed design efforts using CAD for spaceflight technologies including sensors, mechanisms, and spacecraft.
• Perform structural and thermal analyses of flight hardware using finite element software and classical techniques.
• Lead supervision and fabrication efforts for spaceflight hardware.
• Test hardware to demonstrate instrument's robustness against the environmental conditions of launch and space.
• Propose and perform internal research to improve technology and establish competitive advantage.

• Requires a Bachelors or a Masters degree in Mechanical Engineering or Aerospace Engineering.
• 2-8 years: Design experience with Computer Aided Design (CAD) software is required.
• 2-8 years: Analysis experience with Finite Element Analysis (FEA) software is required.
• Experience in ANSYS Mechanical, Thermal Desktop, or NASTRAN is desired.
• Working knowledge of metallic and/or composite manufacturing processes for spaceflight applications is desired.
• Experience designing or building spaceflight hardware is desired.
• A valid/clear driver's license is required.

Summary:

Meta is seeking a Research Engineer to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Engineer on the Robotics team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, and sharing this research with the world. You will play a crucial role in developing novel AI advances and deploying them onto robot platforms, and have the opportunity to drive the research in directions which improve robot performance. This role offers an exciting opportunity to work at the forefront of AI and robotics.

Required Skills:

Research Engineer FAIR (Robotics) Responsibilities:

• Work closely with researchers cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation.

• Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments.

• Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness.

• Effectively communicate complex features and systems in detail to diverse stakeholders.

• Publish research results and contribute to research that impacts Meta product development.

Minimum Qualifications:

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• 5+ years of industry experience, or advanced degree with equivalent experience.

• Experience in robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI.

• Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.

• Proficiency in programming languages such as Python, C++, or similar.

Preferred Qualifications:

Preferred Qualifications:

• PhD in computer science, robotics, AI, or related fields.

• 7+ years of industry experience, or advanced degree with equivalent experience.

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV).

• Proven knowledge of robotics fundamentals (perception, planning, control)

• Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.

• Experience building systems based on machine learning and/or deep learning methods.

• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

• Experience working and communicating cross functionally in a team environment.

• Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware.

• Experience designing and developing new robotic systems, platforms or infrastructure.

Public Compensation:

$85.10/hour to $251,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Pay Competitive

Location Manchester/Vermont

Employment type Other

We are seeking a Rod Shop - Research and Development Engineer to join the Orvis Team! This role is full-time on site in Manchester, Vermont with minimal travel.

The R&D Engineer will lead a team of process technicians, develop laboratory framework and drive innovation by developing our next generation of composite materials.

For all of us at Orvis, the words "Made in America" mean more today than they ever have. What they carry with them is an unwavering promise of quality, backed by over 150 years of sweat, innovation, passion, and pride. Nowhere is that on display more prominently than in our Manchester, Vermont rod shop, where our premium fly rods are conceived, constructed, tested, and ultimately perfected. From the state-of-the-art composite technology to the time-tested Tonkin-cane construction of our bamboo series, each step in the process involves hard-working American hands and a powerful connection not only to our history, but to each and every rod we build. We have a strong commitment to our craft and to the people with whom we work. If being a member of a group of dedicated craftsmen appeals to you then come join our team! We look forward to meeting you.

Position Interfaces:

This position reports directly to the Director of Rod Shop MFG and will interact daily with Plant Manager, Process Technicians, and production associates.

Responsibilities:

• Be an ambassador of the Brand and embody the Orvis Vision, Mission, Core Values, and Culture.
• Explore various quality and performance opportunities in fly rod development to further push innovation and intellectual properties.
• Develop laboratory framework and best practices in the preparation of reports as they pertain to materials and various other fly rod components.
• Perform lab testing on materials, cure cycles, fiber alignment, fiber compaction, in our newly constructed R&D laboratory.
• Partner closely with Product Development team, Quality, Production, Sourcing, Sustainability, and other cross-functional teams to ensure product cycle deadlines are met and product standards are upheld within program budgets.
• Build and maintain material and component library for all prepreg composite that align with design and development requirements.
• Maintain laboratory documentation, equipment, and tools to meet requirements.
• Partner with process technicians and production associates on handover ensuring specs and detailed product details are correct, problem solving any pre-production issues.
• Be part of the leadership team, setting direction and driving innovation in our premium product.

Competencies and Requirements:

• A BS degree from an accredited college or university in mechanical engineering or physics and a cumulative GPA of at least a 3.0 is required.
• Minimum 3+ years of relevant experience, with a proven track record, developing products through a full product life cycle - concept, prototype, validated design with a vision to scaled production.
• Strong working knowledge of test standards applicable on composite Modulus of Elasticity, Tensile Strength, and Fiber area weight.
• Extensive working knowledge of fiber orientation, thermoset materials, carbon matrix composites, and deflection load.
• Experience with tubular composite and relationships with oven cure cycles, resin content, and roll wrapping process.
• Experience in ERP software, NetSuite is preferred.
• Proficient in SolidWorks and Microsoft Excel (pivot tables, VLOOKUP, charts, data sorting and filtering, conditional Formatting, functions, advanced formulas).
• Personal interest in outdoor activities, fly fishing is preferred.

Orvis Company associates take pride in our world-class service and products, treating customers, vendor partners, and each other with integrity and mutual respect. We work in a supportive, team-oriented environment, focusing on performance, continuous improvement, and exceeding our customers expectations both internal and external.

In 1856, Charles Orvis founded the Orvis Company in Manchester, Vermont, offering the finest fly fishing equipment, and priding himself on customer satisfaction and service. Today, along with our world famous fly-fishing gear, Orvis offers distinctive clothing, home furnishings, gifts, and dog products. Each item is rooted in our heritage of authenticity and the outdoors, and is backed with a no-questions-asked guarantee.

Orvis is headquartered in beautiful Southwestern Vermont with major operations in Roanoke, Virginia and the U.K. We firmly believe that the only way for Orvis to achieve its vision to be the most respected lifestyle brand in America, is to have a company culture that is supportive and inspiring to the individuals that will get us there.

Orvis offers competitive compensation commensurate with scope of responsibilities and experience required; plus a comprehensive benefits package including medical/dental/vision coverage, life insurance, 401K, generous associate discounts, and other excellent benefits.

• Job Family US Manufacturing
• Job Function Manufacturing
• Pay Type Salary

Since 1856, Orvis has offered our customers distinctive clothing, the world's finest fly fishing rods and tackle, upland hunting gear, dog beds, luggage, and unique gifts.

• Conduct advanced research on ber-based materials and membranes for ltration and water purication.
• Develop and optimize ltration media for applications such as water ltration and industrial processes.
• Investigate the chemical, mechanical, and thermal properties of bers used in ltration to enhance performance.
• Develop prototypes and scalable processes for new ber technologies.
• Create prototypes of ltration systems and validate their performance through rigorous testing under simulated and real-world conditions.
• Design and conduct experiments to analyze ltration efficiency, pressure drop, fouling behavior, and contaminant removal.
• Collaborate with cross-functional teams to integrate material innovations into product designs.
• Present technical insights and project updates to stakeholders, both technical and non-technical.
• Ensure all research complies with industry standards and environmental regulations.
• Incorporate sustainable and eco-friendly practices in the design and development of filtration materials and processes.
• Explore bio-based and renewable fiber technologies to minimize environmental impact.
• Stay updated on emerging trends in filtration media, advanced manufacturing, and sustainable engineering.

Qualications:

Education:

• BS or MS in Materials Science, Fiber Science, Polymer Engineering, Textile Engineering, or a related field.
• Strong understanding of fiber chemistry, processing techniques, and performance testing.
• Process Engineering knowledge.
• Proficiency with analytical tools such as SEM, TEM, FTIR, TGA and BET.
• Knowledge of sustainability practices and bio-based fiber technologies is a plus.
• Knowledge of polymer science and/or polymer processing is a plus.

Technical Skills:

• Strong understanding of fiber chemistry, processing techniques, and performance testing.
• Process Engineering knowledge.
• Proficiency with analytical tools such as SEM, TEM, FTIR, TGA and BET.
• Knowledge of sustainability practices and bio-based fiber technologies is a plus.
• Knowledge of sustainability practices and bio-based fiber technologies is a plus.

Soft Skills:

• Exceptional problem-solving and critical-thinking abilities.
• Strong project management and organizational skills.
• Effective communication skills for presenting complex ideas and findings.

by Jobble

• Design, develop and build mechanical components and systems for lab automation prototypes.
• Apply systematic engineering methods including requirements engineering, conceptualization, design reviews, and optimization.
• Present mechanical concepts and designs to internal and external stakeholders.
• Collaborate with electrical and software engineers to ensure system integration.
• Support innovation projects and contribute to the development of new technologies.
• Take on additional responsibilities and tasks as needed, such as supporting to maintain proper lab operations.

• Creativity and technical excellence in mechanical design.
• Strong organizational and time management skills.
• Ability to work independently and take responsibility for outcomes.
• Effective communication and collaboration in international, interdisciplinary teams.
• Flexibility in taking different roles in an agile environment and commitment to team goals.
• A proactive mindset, raising questions and concerns to improve outcomes.
• Commitment to delivering high-quality, innovative solutions.

• Master's or PhD in Mechanical Engineering, Mechatronics, Robotics or Physics.
• 5 - 8 years of experience in relevant industries such as Life Sciences or component development for industrial automation.
• Highly experienced in the use of CAD software, preferably PTC Creo.
• Proven experience in rapid prototyping and mechanical system development.
• Experience in use of PTC CodeBeamer advantageous.
• Knowledge of systems engineering, including electrical wiring and basic PLC programming advantageous.
• Proficient in use of MS Office 365 products.
• Fluent English and strong intercultural communication skills.

• The good feeling working for a family-owned company with a safe and solid financial basis
• Freedom to explore, innovate and realise your own ideas
• Competitive compensation with attractive perks and other benefits
• Respect and appreciation for each other - regardless of gender, nationality, disability, age and identity
• Lifelong learning with great conditions for individual further development
• Flexible working models depending on the respective workplace for a good balance of work and private life
• Highly modern working environment, infrastructure and communication technologies
• Great family and health services for your well-being

Summary:

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.

Required Skills:

Research Engineer, Language - Generative AI Responsibilities:

• Design methods, tools, and infrastructure to push forward the state of the art in large language models.

• Define research goals informed by practical engineering concerns.

• Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

• Work with a large and globally distributed team.

• Contribute to publications and open-sourcing efforts.

Minimum Qualifications:

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• Research experience in machine learning, deep learning, and/or natural language processing.

• Experience with developing machine learning models at scale from inception to business impact.

• Programming experience in Python and hands-on experience with frameworks such as PyTorch.

• Exposure to architectural patterns of large scale software applications.

• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

Preferred Qualifications:

• Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• A PhD in AI, computer science, data science, or related technical fields.

• Direct experience in generative AI and LLM research.

• First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

Public Compensation:

$70.67/hour to $208,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

About the Team

The Future of Computing is an Applied Research team focused on prototyping and exploring how (consumer) computing might holistically evolve as we advance on our mission of building AGI.

About the Role

As a Research Engineer on the Future of Computing team, you will work together with both the best research scientists in the world and the greatest design talent of our generation to push the frontier of model capabilities.

The ideal candidate will have a research background and experience shipping AI products that involve novel sensor inputs (think IMU data or other time-series data).

This role is based in San Francisco, CA. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees.

In this role you will:

• Train and evaluate multimodal SoTA models along axis that are important to our emerging explorations.

• Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.

You might thrive in this role if you:

• Love exposure to a bit of everything - we're collaborators with a hugely diverse set of research.

• Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.

• Have already spent time in the weeds teaching models to speak and perceive.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $460K - $555K

Netflix is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The Role Fast-paced innovation in the theory and practice of large language models (LLMs) and other foundation models is greatly helping to advance state-of-the-art in personalization and discovery experiences. However, cost-effective and efficient training and serving of the models at Netflix's scale is a technical challenge. Hence we are looking for an exceptional applied research engineer to help us develop the technology that would enable efficient training and serving of these models. In this role, you will aid applied research and product development by conceptualizing, designing, and implementing engineering improvements related to large-scale deep neural networks. You would have proven expertise in efficiency optimizations using techniques such as quantization, model pruning, distillation, compute-efficient finetuning, etc. You have to be deeply knowledgeable in ML hardware and software to be successful in this role. Additionally, you need solid software development skills, a love of learning, a passion for solving problems, a bias to action, and effective collaboration with scientists. What we are looking for:

• 5+ years of software engineering experience with a track record of delivering quality results.
• Proven expertise in training and serving infrastructure for LLMs and other large foundation models.
• Strong problem-solving skills with knowledge of statistical methods.
• Strong software development experience in languages such as Python and Java.
• Deep understanding of TensorFlow and/or PyTorch.
• Familiarity with hardware and software accelerators and GPU-based optimizations
• Great interpersonal skills.
• Strong communication skills - written and verbal.
• Graduate degree in Computer Science, Statistics, or a related field.

• Experience as a technical leader.
• Experience working with cross-functional teams.
• Experience in Search, Recommendations, Natural Language Processing, Knowledge Graphs, Conversational Agents, and Personalization.
• Experience with Spark or other distributed computed platforms.
• Experience with cloud computing platforms and large web-scale distributed systems.
• Experience in applied research in industrial settings.
• Open source contributions.
• Research publications at peer-reviewed journals and conferences on relevant topics.

• Synergistic Signals: Exploiting Co-Engagement and Semantic Links via GNN - Under review.
• Lessons Learnt From Consolidating ML Models in a Large-Scale Recommendation System
• Search Personalization at Netflix - PaRiS Workshop - WebConf 2023.
• Augmenting Netflix Search with In-Session Adapted Recommendations - RecSys 2022
• Query Facet Mapping and its Applications in Streaming Services - SIGIR 2022
• Recommendations and Results Organization in Netflix Search - RecSys 2021
• Challenges in Search on Streaming Services: Netflix Case Study - SIGIR 2019
• Netflix Research site

• Conduct market research to identify industry trends, customer needs, and key opportunities.
• Analyze competitors, including pricing models, features, and marketing strategies.
• Identify and manage third party research organizations to do specialized research.
• Gather data from various sources (surveys, reports, competitor websites, etc.).
• Summarize findings in clear and actionable reports or presentations.
• Other duties as assigned and related to the nature of this role and company initiatives.

• A minimum of 5+ years of research experience with cybersecurity SaaS solutions.
• Current and/or prior working experience in certificate authority industry is strongly recommended.
• Proven experience in market research, preferably in the SaaS industry.
• Strong analytical and critical thinking skills.
• Experience with research tools, data collection, and competitive analysis.
• Ability to present findings in a structured and visually appealing format.
• Excellent written and verbal communication skills.

• Excellent written and verbal communication skills to effectively convey complex technical concepts to diverse stakeholders.
• Strong background in B2B SaaS and/or security software industries.
• Strategic thinker with a revenue-driven mindset and a track record of driving measurable business outcomes.
• Exceptional leadership and team-building skills, with the ability to inspire and influence cross-functional teams.
• Outstanding communication and presentation skills, with the ability to engage and persuade senior stakeholders.
• Highly analytical and data-driven, with the ability to translate insights into actionable strategies.

Market Research Analyst (Las Vegas, NV): Implement research methodologies,gather info on competitors, analyze price proposals, coordinateprocurement initiatives & make progress report. Mstr's deg in ManagementInformation Systems is req'd. Send res to: Gaming & Entertainment TouchTechnology LLC 4760 S. Polaris Ave., Ste. B, Las Vegas, NV 89103 recblid gdcdus98irlc41f7pz97a06mvg5jqc

We develop mechanical solutions for multiple industries. From power utilities to the oil and gas industry, we are proud to improve efficiency and productivity through expertise in engineering dynamics, structures, materials, and fluid systems.

• Develop fluid or structural solutions for machinery systems using engineering principles, design practices, and engineering software tools.
• Utilize instrumentation to measure and understand industrial machinery systems, including electronics and data acquisition systems.
• Interface with customers on projects, including proposals, reports, and meetings.
• Travel to client sites for field testing.
• Promote organizational and laboratory capabilities at industry events and conferences.

• Perform evaluations and analysis of structural and fluid problems of machinery and associated plant systems particularly for the energy industry.
• Measure pulsation and vibration data in an effort to diagnose machinery performance issues.
• Perform transient fluid modeling simulations; perform finite element analysis using ANSYS or similar tools.
• Prepare and run structural and fluid models of fluid handling machinery (compressors, pumps, etc.) and piping systems to identify behaviors, and response to inputs.
• Assist in the development of software and diagnostic tools to enhance data collection and analysis.
• Conduct laboratory research required by clients and directed at finding solutions and advancements for fluid handling machinery.
• Independently write technical reports, proposals, and technical presentations.
• Oversee and manage project technical activities, cost, and scheduling; deal directly with customers and supervise technical staff.
• Develop and deliver presentations to customers; participate in conferences and other events to actively promote SwRI business.

• Requires a Bachelor's degree in Mechanical Engineering or related degree field.
• 0-1 years of professional level engineering experience, ideally with machinery related experience preferred.
• Familiarity with instrumentation used for laboratory experiments, electronics, and data acquisition systems.
• Some design experience is preferred.
• Must have sufficient written and communication skills for the preparation of technical reports, proposals, and presentations.
• Must be able to work in a team or independently with minimum oversight.
• Modeling experience with tools such as HYSYS, Synergi Pipeline Simulator (SPS) for fluid modeling or finite element analysis using ANSYS.
• A valid/clear driver's license is required.

Must be a U.S. person (i.e., U.S. citizen, non-U.S. citizen national, lawful permanent resident, asylee, or refugee) due to ITAR work in section.

41200BR

Extended Job Title:

Energetic Materials Research Engineer

Position Description:

The Energetic Materials Research Engineer is a senior-level research professional responsible for leading and executing complex experimental investigations related to combustion and energetic materials. This role supports the Combustion Lab's mission to innovate, educate, and develop practical solutions for energy generation and materials science challenges. The individual in this position independently manages experimental systems, provides technical leadership to student teams, ensures laboratory compliance with safety standards, and contributes to scientific dissemination through publications and presentations.

Requisition ID:

41200BR

Travel Required:

None

Major/Essential Functions:

• Experimental Research - Lead design and execution of experiments involving metal fuel combustion and energetic materials; apply advanced diagnostics and data analysis; contribute to development of new experimental techniques.

• Instrumentation & Equipment - Operate, maintain, and troubleshoot complex laboratory instruments including calorimetry, thermogravimetric analysis, spectroscopy, ballistic testing systems, and high-speed imaging equipment.

• Project & Workflow Management - Develop and manage test plans (DOE); oversee student-supported projects; coordinate experimental timelines and resources; interface with external research partners and sponsors.

• Student Mentorship & Supervision - Mentor and guide undergraduate and graduate students in experimental techniques, safety protocols, and data interpretation; manage student project assignments and technical development.

• Safety and Compliance - Lead lab safety initiatives; author and revise SOPs; ensure compliance with institutional, state, and federal regulations regarding chemical and physical laboratory operations.

• Communication & Dissemination - Prepare technical documentation, reports, and publications; present findings to stakeholders and at conferences; deliver workshops and training sessions.

Grant Funded?:

Yes

Minimum Hire Rate:

4352.42

Pay Basis:

Monthly

Schedule Details:

8 to 5

Work Location:

Lubbock

Department:

Mechanical Engineering

Required Attachments:

Cover Letter, Professional/Personal References, Resume / CV

Job Type:

Full Time

Job Group:

Skilled Professionals

Shift:

Day

Required Qualifications:

B.S. and M.S. or equivalent in Mechanical Engineering or related discipline. A minimum of 10 years of relevant experience in laboratory research, industry R&D, or academic engineering environments.

Does this position work in a research laboratory?:

Yes

About the Department and/or College:

The Department of Mechanical Engineering awarded 295 undergraduate, 40 MS and 15 PhD degrees in AY 2023-24. Department enrollment includes 1514 undergraduate students and 144 graduate students. Among the 33 tenure-track, tenured, research professors and professors of practice, roughly 30% are women and minorities. In recent years, department faculty have been awarded nearly 4 million dollars in externally sponsored research, of which 70% were from federal sources. Faculty are known for cited work on bio-inspired devices, computational mechanics, vortex dynamics, turbulence, microfluidics, nanoimprinting, physiological microstructure and translational nutrition, cardiovascular dynamics, nanomedicine, energetic and biological materials, and robust control methods. Department faculty recognitions and awards include membership in the US National Academy of Engineering and foreign Academies of Engineering and the Sciences, recognitions as Thomson-Reuters highly cited scholars, PECASE, Young Investigator DOD awards, and NSF CAREER awards. For more information about the mechanical engineering department, please visit

Safety Information:

Adherence to robust safety practices and compliance with all applicable health and safety regulations are responsibilities of all TTU employees.

Pay Statement:

Compensation is commensurate upon the qualifications of the individual selected and budgetary guidelines of the hiring department, as well as the institutional pay plan. For additional information, please reference the institutional pay plan by visiting

EEO Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.

About the University:

Established in 1923, Texas Tech University is a Carnegie R1 (very high research activity) Doctoral/Research-Extensive, Hispanic Serving, and state-assisted institution. Located on a beautiful 1,850-acre campus in Lubbock, a city in West Texas with a growing metropolitan-area population of over 300,000, the university enrolls over 40,000 students with 33,000 undergraduate and 7,000 graduate students. As the primary research institution in the western two-thirds of the state, Texas Tech University is home to 10 colleges, the Schools of Law and Veterinary Medicine, and the Graduate School. The flagship of the Texas Tech University System, Texas Tech is dedicated to student success by preparing learners to be ethical leaders for a diverse and globally competitive workforce. It is committed to enhancing the cultural and economic development of the state, nation, and world.

About Lubbock:Referred to as the "Hub City" because it serves as the educational, cultural, economic, and health care hub of the South Plains region, Lubbock boasts a diverse population and a strong connection to community, history, and land. With a mild climate, highly rated public schools, and a low cost of living, Lubbock is a family-friendly community that is ranked as one of the best places to live in Texas. Lubbock is home to a celebrated and ever-evolving music scene, a vibrant arts community, and is within driving distance of Dallas, Austin, Santa Fe, and other major metropolitan cities. Lubbock's Convention & Visitors Bureau provides a comprehensive overview of the Lubbock community and its resources, programs, events, and histories.