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Associate Machine Learning Government Jobs in Cambridge, MA

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 ...

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 ...

New

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

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

As an Associate you will focus on learning and contributing to client engagement, building ... machine learning, NLP, and LLMs in relevant projects - Contribute to team efforts while enhancing ...

Showing results 41-60

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 Aug 15, 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:

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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $145,433 per year, or $69.9 per hour.

Full-time

Re-posted 2 days ago


Job description

POSTDOCTORAL ASSOCIATE, Biology, to develop experimental approaches for understanding how genetic perturbations shape microbial cellular phenotypes. The postdoctoral associate will be jointly advised by Professors Yunha Hwang and Gene-Wei Li and will work at the interface of microbial genetics, functional genomics, systems biology, and multi-omic measurement; and design and execute bacterial perturbation experiments, develop scalable molecular biology workflows, and generate high-quality transcriptomic, physiological, proteomic, and metabolomic datasets. This position offers substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required.

The full job description is available here: https://acrobat.adobe.com/id/urn:aaid:sc:US:e833c527-a3d6-4b16-be41-e52cd24651f8


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Industry

Human resource programs administration

Company size

1 - 10 Employees

Headquarters location

Cambridge, MA, US

Year founded

2014