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Associate Machine Learning Jobs in Massachusetts

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

Red Hat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

Redhat

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189K - $312K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

Lennar

Lead Machine Learning Engineer

Boston, MA · On-site +1

$111K - $146K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

Lennar Homes

Lead Machine Learning Engineer - REMOTE

Quincy, MA · Remote

$107K - $141K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

Lennar Homes

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

Lennar

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

Lennar Homes

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

Lennar Homes

Lead Machine Learning Engineer - REMOTE

Woburn, MA · Remote

$109K - $144K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Massachusetts

Associate Machine Learning information

See Massachusetts salary details

$26.5K

$139.3K

$341.5K

How much do associate machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for associate machine learning in Massachusetts is $139,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $193,100.00 per year, depending on experience, location, and employer.

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

AspectAssociate Machine LearningData Scientist
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 CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Massachusetts? The most popular types of Machine Learning jobs in Massachusetts are:
What are popular job titles related to Associate Machine Learning jobs in Massachusetts? For Associate Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Massachusetts look for? The top searched job categories for Associate Machine Learning jobs in Massachusetts are:
Associate Machine Learning jobs near you

Senior Machine Learning Engineer

Redhat

Boston, MA • On-site, Remote

$174K - $287K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Job Summary

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat AI Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you.

Join us in shaping the future of AI!

Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

What you will do

  • Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM, and related projects, such as llm-d, LLM-compressor and speculators.

  • Create and manage inference serving deployment pipelines

  • Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models

  • Participate in technical design discussions and provide innovative solutions to complex problems

  • Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research

  • Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance

  • Give thoughtful and prompt code reviews

  • Mentor and guide other engineers and foster a culture of continuous learning and innovation

  • Continuous collaboration with internal and external open source comitters and contributors while contributing to vLLM and related projects

What you will bring

  • Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning

  • Experience with tensor math libraries such as PyTorch and NumPy

  • Strong programming skills with proven experience implementing Python based machine learning solutions

  • Ability to develop and implement research ideas and algorithms

  • Experience with mathematical software, especially linear algebra

  • Understanding of Linear Algebra, Gradients, Probability, and Graph Theory

  • Strong communications skills with both technical and non-technical team members

  • BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a strong plus.


#LI-MD2

#AI-HIRING
#vllm-1

The salary range for this position is $174,190.00 - $287,410.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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