Discover how you can excel as a Machine Learning Engineer in Alexandria's growing tech scene and local industries.
hackajob is collaborating with Nightwing to connect them with exceptional professionals for this role. Nightwing provides technically advanced full-spectrum cyb…
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The Boeing Company is seeking a Senior AI/ML Data Engineer to lead the design and implementation of enterprise-scale AI data platforms supporting vector search,…
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US-Nationwide-FIELD Full time 20186338 What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the analytics life-cycle in order…
Senior AI/ML Data Engineer Why This is an Exciting Role: BI&A is seeking a highly experienced Senior AI/ML Data Engineer to lead the design and implementation o…
BI&A, a Boeing subsidiary, is seeking a Senior AI/ML Data Engineer to lead enterprise-scale AI data platform design and implementation. The role spans vector da…
Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other…
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Requisition ID: 11866ERP Eligible?: YesERP amount: $50 LMRecognitionRelocation: NoType: ExemptShift: 1Clearance Prior to Start: NoneFinal Clearance: NonePay Tra…
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to rei…
Requisition Number:29442Required Travel: 0 - 10%Employment Type:Full Time/Salaried/ExemptAnticipated Salary Range:$180,000.00-$200,000.00Security Clearance:Secr…
Job DescriptionAt General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that ar…
A Machine Learning (ML) Engineer builds systems that let computers learn from data. Their daily tasks include designing algorithms, training models, and testing how well these models perform. They help businesses turn raw data into insights or automated solutions.
In Alexandria, this role is evolving across many industries. Tech companies, healthcare providers, and government agencies look for ML engineers to improve their services. Many opportunities are onsite, especially with local organizations, but remote work is also common for certain roles.
Entry-level ML engineers typically focus on understanding machine learning basics and working under supervision. Mid-level engineers work more independently, handling larger projects. Senior ML engineers lead teams and develop complex models that influence company strategy.
The demand for ML skills is rising in Alexandria, driven by initiatives in defense, healthcare, and financial services. Notable local employers include government research centers and tech startups, with some remote roles available for national companies.
Employers in Alexandria look for a mix of technical skills and soft skills. Core technical skills include proficiency in Python, R, or Java, and experience with machine learning frameworks like TensorFlow or PyTorch. Knowledge of data processing tools such as SQL and experience with cloud platforms like AWS or Azure is also important.
Soft skills such as problem-solving, teamwork, and clear communication are highly valued. Many local employers prefer candidates with at least a bachelor’s degree in computer science, data science, or related fields. Certifications like Google’s Professional Data Engineer or AWS Certified Machine Learning Specialty are a plus.
Given Alexandria's focus on defense and healthcare sectors, familiarity with security protocols and healthcare data regulations (like HIPAA) can boost your chances. Additionally, understanding regional industry needs can help tailor your skills to local employers.
In Alexandria, junior ML engineers earn approximately $65,000 to $85,000 annually. Mid-level professionals typically make between $85,000 and $115,000. Senior ML engineers can see salaries from $115,000 up to $150,000 or more, depending on experience and responsibilities.
Compared to the national average in the U.S., salaries in Alexandria tend to be slightly below larger metro hubs like Washington D.C. or New York but still offer competitive pay given the local cost of living.
Alexandria offers a relatively affordable cost of living compared to nearby Washington D.C. It features diverse housing options, from historic row houses to modern apartments. Overall, salaries for ML engineers are sufficient for a comfortable lifestyle, especially for those with mid-level experience.
Housing costs make up the largest expense but are balanced by the city's walkability and proximity to work hubs. The average rent for a one-bedroom apartment is around $1,600 to $2,000 per month. This makes a salary in the mid-$80,000s a solid, middle-class income for the area.
For more insights into local tech opportunities, visit USAJobs or LinkedIn Jobs. Understanding regional market trends can greatly improve your chances of landing the right role.
By focusing on these steps, you'll stand out as a candidate ready to contribute to Alexandria’s growing tech and data-driven sectors.