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Associate Machine Learning Government Jobs in Massachusetts

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... our associates work and provide value to our customers. * Design, develop, test, deploy, and ...

Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ... S government Even better: * Active US government security clearance * Experience applying deep ...

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... our associates work and provide value to our customers. * Design, develop, test, deploy, and ...

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Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are popular job titles related to Associate Machine Learning Government jobs in Massachusetts? For Associate Machine Learning Government jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Government jobs in Massachusetts look for? The top searched job categories for Associate Machine Learning Government jobs in Massachusetts are:
What cities in Massachusetts are hiring for Associate Machine Learning Government jobs? Cities in Massachusetts with the most Associate Machine Learning Government job openings:
Infographic showing various Associate Machine Learning Government job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 4% Temporary, and 1% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.

Lead Research Scientist - Machine Learning

STR

Woburn, MA • On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
STR is a technology company focused on advanced research and development for defense, intelligence, and national security. As a Lead Research Scientist, you will develop disruptive technologies in signals exploitation and machine learning, lead project teams, and solve high-impact problems for customers.
Responsibilities:
• Help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.
• Lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities.
• Participate on and lead project teams, and interact with customers.
• Explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers.
Qualifications:
Required:
• MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
• Experience building neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow), including implementing new layers/network architectures, model training, hyperparameter tuning, and ablation studies
• Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
• Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib
• Proficiency in one or more programming languages: Python, C/C++
• Able to work, collaborate on, and lead multi-disciplinary teams
• Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
• Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government
Preferred:
• Active US government security clearance
• Experience applying deep learning to domains other than images/text, such as time series, discrete event sequence, or geospatial
• Experience with self-supervised machine learning
• Expertise working with time series, geospatial, and/or spatio-temporal data
• Experience in intelligence or military-related mission areas
Company:
STR is built on people & technology platforms tackling tough problems in cybersecurity, distributed sensing & artificial. Founded in 2010, the company is headquartered in Woburn, USA, with a team of 501-1000 employees. The company is currently Late Stage.