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Associate Machine Learning Government Jobs in Cambridge, MA

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$105K - $134K/yr

... government security clearance • Experience applying deep learning to domains other than images ... machine learning • Experience adapting novel machine learning approaches (e.g., from academic ...

Northeastern University

Associate AI Engineer

Boston, MA · On-site

$88 - $124/hr

About the OpportunityJOB SUMMARYThe Associate AI Engineer will be responsible for designing ... Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data ...

NorthEastern

Associate AI Engineer

Boston, MA · On-site

About the Opportunity JOB SUMMARY The Associate AI Engineer will be responsible for designing ... Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data ...

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$139K - $165K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... Active US government security clearance * Experience applying deep learning to domains other than ...

STR

Senior Research Scientist - Machine Leaning

Boston, MA · On-site

$139K - $165K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... Active US government security clearance * Experience applying deep learning to domains other than ...

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Showing results 41-60

All JobsAssociate Machine Learning Government JobsAssociate Machine Learning Government Jobs in Cambridge, MA

Associate Machine Learning Government information

See Cambridge, MA salary details

$34.4K

$145.4K

$343.7K

How much do associate machine learning government jobs pay per year?

As of Sep 3, 2026, the average yearly pay for associate machine learning government in Cambridge, MA is $145,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $220,800.00 per year, depending on experience, location, and employer.

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 Cambridge, MA?

For Associate Machine Learning Government jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Associate Machine Learning Government jobs in Cambridge, MA look for?

The top searched job categories for Associate Machine Learning Government jobs in Cambridge, MA are:

Associate Machine Learning Government jobs near you
Infographic showing various Associate Machine Learning Government job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $145,433 per year, or $69.9 per hour.

Senior Research Scientist - Machine Leaning

STR

Woburn, MA

$139K - $165K/yr

Full-time

Re-posted 18 days ago

Job description

About the Team
STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.

The Role:

As a Senior Research Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.  You will develop cutting edge AI/ML algorithms for novel application domains and modalities, participate on project teams, and interact with customers. You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office.

Who you are:

  • BS + 5 years, MS + 3 years, PhD or equivalent experience in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
  • Experience building and training neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow)
  • Ability to perform experiment design, modeling/simulation runs, and associated verification and performance analysis using standard analysis tools (e.g. Python)
  • Experience with standard data science tools including scikit-learn, Pandas, and Matplotlib
  • Proficiency in one or more programming languages: Python, C/C++
  • Ability to work and collaborate on multi-disciplinary teams
  • Ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government

Even better:

  • 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
  • Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
  • Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
  • Expertise working with time series, geospatial, and/or spatio-temporal data

Pay Information
Full-Time Salary Range: $139,000 - $165,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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