Find Your Dream Machine Learning Job in USA

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

Machine Learning & Signal Processing Algorithms Engineer

Sunnyvale, California, United States

Hardware

Summary

Posted: Apr 23, 2025

Role Number:

At Apple, novel algorithms quickly have a way of becoming extraordinary products, services, and customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish. This is your opportunity to be part of a world class research and engineering team building the next-generation of advanced algorithms for sensing technologies in iPhone, iPad, Pencil, Watch and more. We are looking for inquisitive, creative signal processing or machine learning engineers with expertise in time-series data, algorithms design with strong C/C++ implementation and embedded programming skills. We are an eclectic group with backgrounds in signal processing, computer science, estimation algorithms, machine learning, human factors, and more, dedicated to inventing new ways of interacting with Apple products and shipping amazing products every year.

Description

This is a key position at a focal point of HW/SW/UI integration with lots of collaboration opportunities among different fields. Starting from early in the product lifecycle, this engineer will analyze sensor data, design algorithms to preprocess data, extract feature and prototype algorithms to enable expected user interactions. Communicate the findings back to the team and leadership and closely collaborate on HW/SW co-design to find the best solution for the ultimate user experience. You will closely collaborate with partner teams throughout the product life cycle, developing figure of metrics to guarantee algorithm performance at different stages, design and implement algorithmic mitigations as needed, provide critical support during production phase, support new form factors and design and implement new user facing features. Your experience with designing algorithms to process time series sensor data and extract features that can enable user interactions along with rapid prototyping skills to show proof of concept and on-device implementation would be essential. Experience with user interface design will further help broaden your role and effectiveness in this position.

Minimum Qualifications

• Background in signal processing, time series analysis, adaptive filters, machine learning, linear algebra, statistics, etc.

• Software programming skills in C, C++ and Python (embedded/resource constrained implementation for algorithms)

• Experience with object-oriented programming and common design patterns

• BS and a minimum of 3 years relevant industry experience.

Preferred Qualifications

• Ph.D. degree in CS (preferred), or other STEM fields such as EE, or Statistics.

• M.S. in CS with at least 2 years of experience in research and development of embedded algorithms

• Rapid prototyping experience with embedded systems

• Experience in human computer interaction (HCI) space

• Experience in designing user study protocols and data analysis

• Familiarity with cloud processing platforms like AWS/GCP

• Excellent communication, presentation, and documentation skill.

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 $143,100 and $264,200, 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.

Machine Learning & Signal Processing Algorithms Engineer

San Diego, California, United States

Machine Learning and AI

Summary

Posted: Apr 24, 2025

Role Number:

At Apple, novel algorithms quickly have a way of becoming extraordinary products, services, and customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish. This is your opportunity to be part of a world class research and engineering team building the next-generation of advanced algorithms for sensing technologies in iPhone, iPad, Pencil, Watch and more. Our group has diverse backgrounds in machine learning, signal and image processing, statistics, estimation theory, control, physics and human factors. You will be responsible for helping develop innovative solutions to challenging technical problems and delivering key product features on time and with high quality. You will need sufficient engineering breadth to have productive conversations with firmware and software teams, hardware technology teams, mechanical engineers, designers, and many other specialists across Apple. Knowledge of machine learning, signal processing, probabilistic modeling, statistics and embedded programming will increase your effectiveness in this position.

Description

This is a key position at a focal point of HW/SW/UI integration with lots of collaboration opportunities among different fields. Starting from early in the product lifecycle, this engineer will analyze sensor data, design algorithms to preprocess data, extract feature and prototype algorithms to enable expected user interactions. Communicate the findings back to the team and leadership and closely collaborate on HW/SW co-design to find the best solution for the ultimate user experience. You will closely collaborate with partner teams throughout the product life cycle, developing figure of metrics to guarantee algorithm performance at different stages, design and implement algorithmic mitigations as needed, provide critical support during production phase, support new form factors and design and implement new user facing features. Your experience with designing algorithms to process time series sensor data and extract features that can enable user interactions along with rapid prototyping skills to show proof of concept and on-device implementation would be essential. Experience with user interface design will further help broaden your role and effectiveness in this position.

Minimum Qualifications

• Background in signal processing, time series analysis, adaptive filters, machine learning, linear algebra, statistics, etc.

• Software programming skills in C, C++ and Python (embedded/resource constrained implementation for algorithms)

• Experience with object-oriented programming and common design patterns

• BS and a minimum of 3 years relevant industry experience.

Preferred Qualifications

• Ph.D. degree in CS (preferred), or other STEM fields such as EE, or Statistics.

• M.S. in CS with at least 2 years of experience in research and development of embedded algorithms

• Rapid prototyping experience with embedded systems

• Experience in human computer interaction (HCI) space

• Experience in designing user study protocols and data analysis

• Familiarity with cloud processing platforms like AWS/GCP

• Excellent communication, presentation, and documentation skill.

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.

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

We are looking for an experienced Machine Learning Systems Engineer to join our team in Poway, CA. This person will lead a team in system development will bring prior expertise in Data and Machine Learning automation to help scale data-driven airborne sensing systems. The ideal candidate must have a wide breadth of engineering knowledge to support writing target detection algorithms for programs such as Air to Ground and Air to Air Radar, Broadband RF, Electronic Intelligence, Electronic Attack and Anti-Submarine Warfare.

DUTIES AND RESPONSIBILITIES:

• With limited direction, this position exercises considerable latitude in determining technical objectives for the review, research, design, development, and/or solution to advanced technical engineering problem (s).

• May function in a project leadership role providing direction and development roadmap to experienced professional staff.

• Formulates plans, typically long term, for solution(s) development, documentation, and deployment, as well as meeting various compliance, reporting, and safety standards.

• Evaluates the integration of the engineering solution within the overall engineering environment; and ensures that appropriate documentation, testing, maintenance, and engineering updates completed. Communicates with engineering professionals, solution users, and management throughout the solution development cycle, represents the company as a prime technical contact on contracts and/or projects, interacts with senior external personnel on technical matters requiring coordination between the organizations, and participates in the development of new or expansion of existing business.

• Determines technical objectives for solution(s) to advanced technical engineering problems.

• Represents the organization as a prime technical contact within and engineering team for assigned project(s)/program(s).

• May function in an advisory or leadership role for a project/program and provide direction and guidance to less experienced professional staff or team of professional staff.

• Formulates plans and guides the development and implementation of engineering solution(s) including deployment, resource requirements, testing, documentation, integration and compliance and safety.

• Plans and coordinates the maintenance of engineering solutions including, documentation, reporting, publishing, and making technical and other presentations to ensure viability of the solution(s) in an evolving environment.

• Plans for future applications of solutions based on new developments in engineering technology.

• Participates in or may lead the development of new or expansion of existing business opportunities.

• Maintains the strict confidentiality of sensitive information.

• Performs other duties as assigned.

• Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company.

• Expected to work in a safe manner in accordance with established operating procedures and practices.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

49162

Job Qualifications:

• Typically requires a bachelors degree, masters degree or PhD in computer science, engineering, mathematics or a related technical discipline from an accredited institution and progressive machine learning experience as follows; fourteen or more years of experience with a bachelors degree, twelve or more years of experience with a masters degree, or nine or more years with a PhD. May substitute equivalent machine learning experience in lieu of education.

• Demonstrates a detailed and extensive technical expertise and application of engineering principles, concepts, theory, and practice with the ability to organize, plan, schedule, conduct, and coordinate workloads to meet established deadlines or milestones with some experience in project leadership.

• Artificial Intelligence, Machine Learning, Radar, Image Processing, Data Engineering, Data Analyst, Perception.

• Experience with Data Science tools such as Python, Jupyter, Scikit, TensorFlow and PyTorch.

• Familiarity with standard data pipeline and MLOps concepts (frameworks, formats, labeling, databases and visualization).

• Industry leader in Machine Learning algorithms and techniques for training and model optimization.

• Proficient in C/C++ and Object Oriented design.

• General understanding of robotics concepts (coordinate systems, kinematics, sensors and Perception techniques).

• Experience with the Linux command line.

• Ability to obtain and maintain a DOD security clearance is required.

Salary: $140,940 - $252,293 Travel Percentage Required 0 - 25 Relocation Assistance Provided Provided US Citizenship Required? Yes Clearance Required? Desired Clearance Level Senior (8+ years) Workstyle Hybrid

General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. EEO is the law. We also prohibit compensation discrimination under all applicable laws. To learn more visit Notices.pdf. U.S. Citizenship is required for certain positions.

About the Role We are looking for a Sr Staff Machine Learning Engineer to join the Eats Search Ranking Team. You will play a critical tech lead role in improving relevance and ranking for search results across all Uber Eats surfaces. Your work will have significant impact on the search experience for millions of Uber Eats users worldwide You will leverage your expertise in data analysis, machine learning, and Engineering to drive insights and optimize search algorithms, ultimately improving user satisfaction and operational efficiency. What the Candidate Will Do: Lead the team in design, development, and deployment of state-of-the-art machine learning models and algorithms to solve business problems and improve product performance. Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions. Set long term technical direction for the team and uphold high engineering and ML quality bar Provide technical leadership and direction to fellow software & ML engineers in the team Identify new business opportunities to solve problems with the right technologies, and stay up-to-date with the latest advancements in machine learning techniques and technologies. Basic Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field 9+ years of experience in developing and deploying machine learning models and algorithms in production environments Deep understanding of machine learning algorithms and ranking / recommendation systems, and strong system design skills Excellent communication skills and the ability to collaborate effectively with cross-functional teams Strong programming skills in languages such as Python, Java, or C++ Preferred Qualifications: Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field Experience directly tech leading a 10+ machine learning team focusing on large scale search and ranking applications. Familiarity with latest development in the field of deep learning, LLM, generative AI, recommendation system and related fields. Track record of applied research is a plus. For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link . Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form . Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

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

Somerville, Massachusetts, United States

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field with 8+ years of industry experience in software, data, and machine learning engineering
• Proven track record in deploying and auto-scaling ML pipelines for sparse, high-dimensional data across multiple data and model scales
• Strong proficiency in Python, SQL, and cloud computing platforms (AWS, Lambda, Modal)
• Extensive experience with ML frameworks such as PyTorch, TensorFlow, or JAX
• Familiarity in data and model integration techniques built on heterogeneous data types
• Proficiency in containerization (Docker) and orchestration (Kubernetes, Dagster, Airflow, Slurm) for ML workloads
• Experience with MLOps tools such as MLflow, Kubeflow, and Ray
• Solid understanding of engineering best practices including devops, version control systems (Git) and CI/CD pipelines (Jenkins, GitLab CI)

It's a bonus if you have:

• Experience with databases including relational, vector and graph databases (e.g., GraphQL) or knowledge graphs for modeling complex relationships
• Familiarity with distributed computing frameworks like Apache Spark
• Knowledge of federated learning
• Experience with ML engineering in the context of drug-discovery and/or gene-therapy

You are interested in

• Developing innovative solutions for integrating sparse, high-dimensional data from various biological scales (e.g., genomic, proteomic, cellular)
• Designing and implementing ML pipelines that ensure full traceability from raw data to model predictions
• Creating robust data versioning and lineage tracking systems (e.g., using DVC) to support reproducible research
• Implementing best practices in MLOps, with a particular focus on model versioning, provenance, and auditing
• Developing user-friendly interfaces (e.g., Flask) that allow non-computational experts to interact with ML models
• Exploring and implementing novel approaches to handle the challenges of sparse data in ML models, including transfer learning and few-shot learning techniques
• Optimizing ML models for deployment on edge devices or in resource-constrained environments

About you:

You are an experienced machine learning engineer with a passion for tackling the unique challenges posed by sparse, high-dimensional biological data in gene-therapy. Your expertise spans the entire ML engineering stack, from ETL to model deployment and auto-scaling, with a focus on creating robust, reproducible ML pipelines. You excel at designing systems that handle sparse data effectively, applying advanced techniques to extract insights from limited data. Your proficiency in MLOps tools, containerization, and orchestration enables you to create scalable, reproducible environments for both development and production. As a Principal Engineer, you have a strong track record of mentoring junior team members and collaborating effectively with cross-functional teams, translating complex MLE concepts for non-technical stakeholders. Your passion for democratizing ML tools while maintaining rigorous standards of data handling and model deployment makes you an ideal candidate to advance our gene therapy research through cutting-edge ML solutions.

Leadership Structure:

All inquiries regarding the posted position should be directed to the Talent Partner (see below). Interested individuals must apply directly to be considered for the opening.

Tessera offers a competitive package of base and incentive compensation as well as a comprehensive benefits program designed to support the health, wellness and financial security of our employees and their families. Benefits currently include group medical, vision and dental coverage, group life and disability insurance, 401(k) with company contribution, tuition reimbursement, and much more.

Company Summary:

Tessera Therapeutics is pioneering Gene Writing a new biotechnology designed to offer scientists and clinicians the ability to write small and large therapeutic messages into the genome, thereby curing diseases at their source. Gene Writing holds the potential to become a new category in genetic medicine, building upon recent breakthroughs in gene therapy and gene editing while eliminating important limitations in their reach, utilization, and efficacy. Tessera Therapeutics was founded by Flagship Pioneering, a life sciences innovation enterprise that conceives, resources, and develops first-in-category companies to transform human health and sustainability.

More about Tessera Therapeutics:

Tessera is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, marital status, genetics, protected veteran status, citizenship status, sexual orientation, gender identity or expression, or any other characteristic identified by federal, state, or local laws where we operate. Tessera provides reasonable accommodations to qualified applicants and employees with disabilities. To begin an interactive dialogue with Tessera regarding a reasonable accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied, please contact the recruiter or Accommodations@

Recruitment & Staffing Agencies: Tessera Therapeutics does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Tessera Therapeutics or its employees is strictly prohibited unless contacted directly by Tessera Therapeutics internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Tessera Therapeutics, and Tessera Therapeutics will not owe any referral or other fees with respect thereto.

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Summary:

Reality Labs focuses on delivering Meta's vision through Augmented Reality (AR) and Smart Devices. Compute power requirements of these devices require custom silicon. Meta's Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR devices where our real and virtual world will mix and match throughout the day, and smart devices that provide assistance and super powers in our day-to-day activities. We believe the only way to achieve our goals is to look at the entire stack, through algorithms to architecture, transistors to firmware. As a Design Verification Engineer at Meta's Reality Labs, you will work with a world-class group of researchers and engineers, and use your digital design and verifications skills to implement the testing infrastructure to validate new core IP implementations and contribute to development and optimization of state of the art machine learning algorithms. You will work closely with researchers, architects and designers in creating test bench requirements and test cases for multiple state of the art machine learning IPs.

Required Skills:

Design Verification Engineer - Machine Learning Accelerators Responsibilities:

• Work with cross-functional leads, including product managers, systems architects, researchers, and software architects, to develop industry leading Machine Learning IP's optimized for Mixed Reality and Smart Devices and use-cases, defining verification methodologies for each of the different core IPs.

• Define, track, and lead the execution of detailed test plans for the different modules and top levels.

• Implement scalable test benches including checkers, reference models, assertions in System Verilog.

• Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage.

• Collaborate with cross-functional teams such as Design, Model, Emulation and Silicon validation teams towards ensuring the highest design quality across pre- and post-Silicon product lifecycle.

• Support hand-off and integration of developed subsystems/IP blocks into larger SOC environments.

• Develop and drive continuous Design Verification improvements using the latest verification methodologies, tools and technologies from the industry.

Minimum Qualifications:

Minimum Qualifications:

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

• 10+ years of hands-on experience in SystemVerilog/UVM methodology and C/C++ based verification.

• 10+ years of experience in IP/sub-system and/or SoC level verification based on SystemVerilog UVM/OVM based methodologies.

• Experience in one or more of the following areas along with functional verification - SV Assertions, Formal, Emulation.

• Experience in EDA tools and scripting (Python, TCL, Perl, Shell) used to build tools and flows for verification environments.

• Track record of 'first-pass success' in ASIC development cycles.

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

Preferred Qualifications:

Preferred Qualifications:

• Masters in Electrical Engineering or Computer Science.

• Experience with Design verification/validation of machine learning applications and accelerators.

• Experience with revision control systems like Mercurial(Hg), Git.

• Experience with low power design.

• FPGA/emulation debug experience.

• Experience in verification of numerical compute based designs.

• Experience with Software/Hardware Co-design at firmware, ISA, and application level

Public Compensation:

$173,000/year to $249,000/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 .

AWS Utility Computing (UC) is renowned for its foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), constantly delivering innovative product features that distinguish AWS in the industry. As a pivotal member of the UC organization, you'll contribute to the development and management of various services, including Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services, and also support customers requiring specialized security solutions.

Annapurna Labs, a part of AWS UC, is at the forefront of silicon and software innovation. Our custom chips and accelerators are designed to tackle unprecedented technical challenges, enabling our customers to transform their industries.

We are on the lookout for a talented Hardware Design Engineer to lead the definition, design, and validation of next-generation ML Chips, Cards, and server integration for AWS. As a senior member of our hardware team, you will collaborate on PCIe and SerDes topics to create tailored platforms that seamlessly integrate within AWS's state-of-the-art data centers.

As part of the Machine Learning Acceleration team, you will play a crucial role in designing and optimizing hardware for our data centers, driving the integration of new technologies into large-scale server deployments to ensure an exceptional customer experience. This position is dynamic and intellectually stimulating, offering the chance to work alongside industry thought leaders. We expect high standards from you and seek your insights to enhance product performance, quality, and cost-effectiveness.

Our team champions knowledge-sharing and mentorship while nurturing a supportive environment for new members. We have a diverse mix of experience levels and career stages, and we focus on fostering career growth by assigning projects to help develop your engineering skills.

Diverse Experiences: AWS values a diverse workforce. We encourage all candidates to apply, even if they do not meet every qualification listed in the job description.

About AWS: Amazon Web Services (AWS) is the world's most comprehensive and widely adopted cloud platform, and our commitment to innovation is ongoing.

Inclusive Team Culture: At AWS, we prioritize learning and curiosity. Our employee-led affinity groups create a culture of inclusion that celebrates our differences.

Work/Life Balance: We believe in maintaining work-life harmony. Success at work should not come at the expense of personal time.

Mentorship & Career Growth: We continuously uplift our performance standards as we work towards becoming the best employer globally.

• Proven expertise in PCIe interface Gen4 or newer, both electrically and functionally at chip and PCB levels.
• Solid grasp of transmission line theory and electromagnetics, especially in relation to SerDes, single-ended signals, and parallel bus interfaces.
• Experience with lab equipment (e.g., VNA, realtime scope, sampling scope) for electrical validation and characterization.
• Proficiency in scripting to automate tests, parse logs, and collect data.
• Effective verbal and written communication skills to interact with technical leads at all organization levels.
• Hands-on experience with server hardware design, validation, production tests, and signal integrity of high-speed interfaces.
• Familiarity with the product development cycle from concept to mass production.
• Strong analytical skills coupled with the ability to work independently and oversee tasks from inception to completion.
• Capability to collaborate cross-functionally with software teams to develop and implement diagnostics for hardware validation at component, interface, and system levels.
• Experience with server designs or architectures, particularly x86 and ARM.

Amazon is an equal opportunity employer and is committed to creating a diverse and inclusive workplace.

If you require any adjustments or accommodations during the application or hiring process, please let us know.

Senior Research Engineer - Machine Learning Systems Position Title Senior Research Engineer - Machine Learning Systems Classification Title Classification Title Senior Programmer/Analyst (Project) Department Department Institute for Artificial Intelligence & Data Sciences UB is seeking a Senior Research Engineer with deep expertise in areas such as Artificial Intelligence (AI)/machine learning, AI engineering, AI infrastructure, hybrid cloud computing, and parallel programming with GPUs, to work at the Institute for Artificial Intelligence and Data Science ( IAD ). As a Senior Research Engineer, you should be experienced in the development of scalable AI systems and deployment of distributed ML models, and will be expected to collaborate with researchers across domains. This role includes opportunities to work with state-of-the-art natural language processing, large language models (LLMs), computer vision models, speech models, time series models, and many other related machine learning models, managing AI infrastructure, and optimizing distributed model training and inference. The IAD at the University at Buffalo is a leader in advancing AI, data science, and computational research. IAD fosters innovation by addressing pressing challenges in areas such as education, health care, robotics, and autonomous vehicles, contributing to the future of the U.S. economy and security. This role offers the opportunity to contribute to UB's pioneering work at the intersection of AI and data science, collaborating with experts to drive advancements that make a lasting societal impact. Key Responsibilities: Design and develop full-stack end-to-end AI solutions to support IAD's missions. Collaborate with UB's various decanal units to understand the requirements of AI solutions and build the solutions accordingly. Lead system architecture discussions and the design of the full-stack solution architecture, including front-end, back-end, and cloud deployment (such as AWS , GCP ). Design, maintain, and optimize AI infrastructure to support the test and deployment of AI solutions, including distributed ML training and inference. Under the guidance of faculty members, work with and deploy machine learning models (including LLM models) into both on-prem systems and hybrid clouds, ensuring efficient integration into production environments. Build and maintain scalable, real-time data pipelines and MLOps workflows. Mentor junior engineers to build the AI solutions with robust system performance. Working at UB comes with benefits that exceed salary alone. There are personal rewards including comprehensive health and retirement plan options. We also focus on creating and sustaining a healthy mix of work, personal and academic pursuit - all in an effort to support your work-life effectiveness. We support your growth and development through our career coaching and training department and we qualify as a public service loan forgiveness organization. Learn more about our benefit packages . About The University at Buffalo The University at Buffalo (UB) is one of America's leading public research universities and a flagship of the State University of New York system, recognized for our excellence and our impact. UB is a premier, research-intensive public university dedicated to academic excellence. Our research, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . As an Equal Opportunity / Affirmative Action employer, the Research Foundation will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 3 years of software engineering (end-to-end full-stack development) and machine learning experience (industry or academia), or an equivalent combination of education and experience Expertise in PyTorch, TensorFlow, distributed ML training, inference, and MLOps tools. Proficient in AI infrastructure, high-performance computing, cloud platforms ( AWS , GCP ), and parallel programming with GPUs. Knowledge of cloud technologies such as containerization (Docker, Kubernetes) and big data technologies (Hadoop, Spark). Preferred Qualifications Master's degree in Computer Science, Engineering, or a related field Research project experience and academic publications. Experience with multimodal data and data pipeline creation. Experience in working with and deploying LLM and LVLM models. Strong problem-solving, communication, and collaboration skills. Physical Demands Salary Range Salary Range $100,000 - $125,000 Additional Salary Information Additional Salary Information The salary range reflects our good faith and reasonable estimate of the possible compensation at the time of posting, the role and associated responsibilities, and the experience, education, and training of the selected candidate. Work Hours 37.5 hours per week Campus Campus North Campus Posting Alerts Special Instructions Summary Is a background check required for this posting? Is a background check required for this posting? No Contact Information Contact's Name Contact's Name Virginia Stever Contact's Pronouns Contact's Pronouns she/her/hers Contact's Title Contact's Title Administrative Director Contact's Email Contact's Phone Contact's Phone Posting Dates Posted Posted 11/21/2024 Date to be filled Date to be filled 02/01/2025 References Number of references required Number of references required 3 Reference Cutoff Date Instructions to Applicant Supplemental Questions Required fields are indicated with an asterisk ( ). Please indicate your current employment affiliation with the University at Buffalo. Faculty Faculty Student Association (FSA) Research Foundation Employee State Classified State Professional UB Foundation TA/GA Student No Current Employment Affiliation How did you first hear about this employment opportunity? Chronicle of Higher Education Conference Personal Referral Other UB is an AA/EOE and welcomes all to apply including veterans and individuals with disabilities. Arrangements will be made if an applicant has a disability in order to provide access to the application, interview and selection process upon request. Reasonable accommodation requests must be made in a timely manner by email at by phone .

Are you passionate about overseeing evaluating ML models and validating AI applications? We are looking for an engineering program manager to lead the development of the next phase of our ML international locales expansion. The successful candidate will have a proven track record of conceptualizing and delivering technically complex platform projects.

Bluehalo, an AV Company is seeking a Research Engineer in the area of Machine Learning for Robotics and Natural Language Processing, to serve at Wright-Patterson Air Force Base in Dayton, OH. The position will be in collaboration with the Digital Manufacturing Research Team of the Materials and Manufacturing Directorate.

Fields like artificial intelligence, computer vision, and collaborative robotics are advancing rapidly with impact in numerous application spaces. Long term success in environments such as aerospace manufacturing and maintenance will require greater accuracy, reliability, and attention to detail than other areas. Our team of researchers aims to meet this challenge through innovative techniques including leveraging multiple modalities of input data, careful fine-tuning for particular use cases of interest, and emphasizing specialized approaches such as semantic segmentation sitting within higher level, generalist architectures. The ideal candidate will propose, develop, and characterize novel approaches to advance the ways humans can interact with collaborative robots and AI generally in manufacturing and maintenance environments.

Key Responsibilities:

• Collect and curate datasets for advancing human-machine co-learning by developing custom techniques for multimodal data acquisition, post-processing, automatic tagging, and cloud storage.
• Leverage in house data (audio, visual, motion capture) to fine tune large scale models for improved performance on manufacturing, assembly, and maintenance tasks.
• Provide regular communication and feedback to the team regarding progress, setbacks, and new research opportunities.
• Contribute to a collaborative team environment by engaging in creative discussions with members working in related areas, with opportunities to engage in research areas such as robotics, advanced manufacturing, and AI-guided design optimization.
• Participate in the academic community by writing papers, giving seminars, and leading workshops.
• Ensure compliance of human subject's research with approved Institutional Review Board (IRB) approved protocols.

Requirement Qualifications:

• This position is onsite at a government facility and requires U.S. citizenship
• Master's degree in computer science, engineering, or related field.
• Self-motivation, ability to work cooperatively in diverse teams, and flexibility for evolving program objectives.
• Experience with multi-modal AI models.
• Experience with common programming languages/packages such as Python, Matlab, TensorFlow/Pytorch, OpenCV, etc.

Preferred Qualifications:

• Experience with high performance, cloud, and/or GPU computing
• Experience with robotics hardware and/or simulation such as ROS, Gazebo, etc.