Machine Learning Jobs in Massachusetts
Machine Learning jobs in Massachusetts are among the most actively recruited in the country, concentrated in biotech and life sciences, financial services, robotics, and enterprise software, with openings from entry-level data scientist roles through senior research engineer and principal ML scientist positions. Boston, Cambridge, and the Route 128 corridor are the primary hiring centers, anchored by employers such as MIT Lincoln Laboratory, Raytheon Technologies, and Biogen, all of which maintain deep, ongoing machine learning practices. The most in-demand specialties are natural language processing, computer vision, and MLOps platform engineering. Find a role that fits below and apply directly.
Find Machine Learning JobsOverview
Showing 5 of 111+ Machine Learning jobs
Join Us in Shaping the Future of Generative AI at Apple!
Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an experienced Senior Machine Learning Engineer to help shape the future of responsible AI evaluation for the next generation of generative features.
In this role, you will work to assess, quantify, and improve the safety and inclusivity of Apple’s Generative-AI powered features and products. Your work will tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. You will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models, while upholding Apple's values, privacy, and quality standards.
As part of Apple’s Responsible AI group within the Software Engineering organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. You’ll anticipate safety risks and deliver trusted, high-quality AI experiences to users around the globe.
Description
We are seeking a visionary Senior Machine Learning Engineer to drive Responsible AI Evaluation efforts for global generative AI products. In this role, you will provide critical technical execution for operationalizing policy and risk assessments into measurable criteria; designing datasets; developing LLM- and human-in-the-loop methods for data analysis; and implementing robust data pipelines to produce reliable, scalable insights that inform ship/no-ship product decisions.
Pre- and post-launch, you will be deeply hands-on-analyzing evaluation results, conducting failure investigations, and leveraging human and automated feedback to continuously improve feature safety and build user trust. As a senior technical leader on the team, you will champion technical excellence, empower leadership with data-driven safety recommendations, and systematically solve complex engineering roadblocks. This role heavily draws on applied data science, scientific investigation, cross-functional collaboration, and defending safety metrics to stakeholders and decision-makers.
Preferred Qualifications
Experience working with multimodal models, agentic systems, and/or diverse languages and locales
Experience with compliance and regulatory needs in the AI space, specifically regarding child safety, clinical/health applications, or companionship chatbots
Experience conducting large scale benchmarking across models and capabilities
Minimum Qualifications
Develop metrics for the evaluation of safety and fairness risks inherent to generative models and Gen-AI features.
Design datasets, identify data needs, and implement creative solutions to scale and expand data coverage through human and synthetic generation methods.
Develop sampling strategies and combine human annotation with auto-grading to deliver high-quality, high-confidence insights at a fast pace and large scale.
Design, implement, and optimize data pipelines, collaborating cross-functionally to execute end-to-end safety evaluations.
Drive operational excellence by automating manual workflows and optimizing evaluation velocity to meet rapid product release cycles.
Distill complex project findings into actionable insights for product engineering teams and safety policy development.
Work with highly-sensitive content, including exposure to offensive and controversial material.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,800 and $292,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Join Us in Shaping the Future of Generative AI at Apple!
Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an experienced Senior Machine Learning Engineer to help shape the future of responsible AI evaluation for the next generation of generative features.
In this role, you will work to assess, quantify, and improve the safety and inclusivity of Apple’s Generative-AI powered features and products. Your work will tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. You will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models, while upholding Apple's values, privacy, and quality standards.
As part of Apple’s Responsible AI group within the Software Engineering organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. You’ll anticipate safety risks and deliver trusted, high-quality AI experiences to users around the globe.
Description
We are seeking a visionary Senior Machine Learning Engineer to drive Responsible AI Evaluation efforts for global generative AI products. In this role, you will provide critical technical execution for operationalizing policy and risk assessments into measurable criteria; designing datasets; developing LLM- and human-in-the-loop methods for data analysis; and implementing robust data pipelines to produce reliable, scalable insights that inform ship/no-ship product decisions.
Pre- and post-launch, you will be deeply hands-on-analyzing evaluation results, conducting failure investigations, and leveraging human and automated feedback to continuously improve feature safety and build user trust. As a senior technical leader on the team, you will champion technical excellence, empower leadership with data-driven safety recommendations, and systematically solve complex engineering roadblocks. This role heavily draws on applied data science, scientific investigation, cross-functional collaboration, and defending safety metrics to stakeholders and decision-makers.
Preferred Qualifications
Experience working with multimodal models, agentic systems, and/or diverse languages and locales
Experience with compliance and regulatory needs in the AI space, specifically regarding child safety, clinical/health applications, or companionship chatbots
Experience conducting large scale benchmarking across models and capabilities
Minimum Qualifications
Develop metrics for the evaluation of safety and fairness risks inherent to generative models and Gen-AI features.
Design datasets, identify data needs, and implement creative solutions to scale and expand data coverage through human and synthetic generation methods.
Develop sampling strategies and combine human annotation with auto-grading to deliver high-quality, high-confidence insights at a fast pace and large scale.
Design, implement, and optimize data pipelines, collaborating cross-functionally to execute end-to-end safety evaluations.
Drive operational excellence by automating manual workflows and optimizing evaluation velocity to meet rapid product release cycles.
Distill complex project findings into actionable insights for product engineering teams and safety policy development.
Work with highly-sensitive content, including exposure to offensive and controversial material.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,800 and $292,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See All 111+ Machine Learning Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Machine Learning Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Biotechnology & Pharmaceuticals
- Automotive
- Medical Devices
- Science & Research
What Massachusetts Employers Look For
The qualifications that appear most often in machine learning jobs across Massachusetts.
- Bachelor's or master's degree in computer science, mathematics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model serving
- Strong understanding of statistics, probability, and applied mathematics relevant to ML methods
- Ability to communicate model results and technical trade-offs to non-technical stakeholders
Machine Learning Jobs in Massachusetts: Frequently Asked Questions
How do you become a machine learning engineer in Massachusetts?
Machine learning does not require a state-issued license in Massachusetts. Employers typically look for a bachelor's degree in computer science, statistics, or a related field, with a master's degree strongly preferred for research-oriented roles. Building a portfolio of applied projects, contributing to open-source repositories, and gaining hands-on experience through internships at Boston-area biotech, defense, or fintech firms provides the most direct path to a first role.
Which companies hire machine learning engineers in Massachusetts?
Employers hiring machine learnings in Massachusetts right now include Whoop, Boston Dynamics, and Wayfair, based on current listings on Migrate Mate as of November 2026. Massachusetts's dense concentration of biotech companies, defense contractors, and fintech firms means demand is spread across multiple industries rather than a single dominant sector.
Which Massachusetts cities have the most machine learning jobs?
Boston, Cambridge, and Waltham have the most machine learning openings in Massachusetts. Boston and Cambridge dominate because of the research institutions, venture-backed startups, and established biotech and financial services headquarters clustered there, while suburban corridors like Waltham and Burlington along Route 128 contribute significantly through the defense and enterprise software companies based in that area.
Are there remote machine learning jobs in Massachusetts?
Yes, and more than most fields. About 46% of machine learning openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how much of the work involves writing code, running experiments, and reviewing results rather than on-site lab work. Roles that require access to proprietary hardware, classified systems, or on-premises data infrastructure tend to be the exceptions requiring in-person presence.
How can I get hired as a machine learning engineer in Massachusetts with little or no experience?
The most realistic entry path is applying to associate data scientist or junior ML engineer roles at Massachusetts companies that run structured new-graduate programs, including large biotech employers and defense contractors that actively recruit from MIT, Northeastern, and UMass Amherst. Lateral moves from software engineering or data analytics roles are common. A strong project portfolio on GitHub demonstrating end-to-end model development, along with relevant coursework or a master's degree, gives candidates without prior industry experience a concrete edge.
Where can I find and apply to machine learning jobs in Massachusetts?
You can find and apply to machine learning jobs in Massachusetts on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the available roles, find the ones that match your background and location, and apply directly through each listing.
See All 111+ Machine Learning Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Machine Learning Jobs