AI ML Engineer Jobs in Massachusetts
AI ML Engineer jobs in Massachusetts are among the most active in the country, concentrated in biopharma and life sciences, robotics, defense technology, and enterprise software, with openings at every level from junior engineer through principal and staff. The heaviest hiring is in Greater Boston, Cambridge, and the Route 128 corridor, where employers such as MathWorks, Wayfair, and Biogen have deep, lasting engineering footprints. Demand is especially strong in applied machine learning, MLOps and model deployment, and computer vision tied to the state's robotics and biomedical imaging sectors. Find a role that fits below and apply directly.
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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 13 AI ML Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI ML Engineer JobsAI ML Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI ML Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
What Massachusetts Employers Look For
The qualifications that appear most often in AI ML engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, statistics, or a closely related technical field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for ML workloads
- Strong grounding in statistics, linear algebra, and applied mathematics relevant to model development
- Experience with MLOps practices including model versioning, monitoring, and CI/CD pipelines
AI ML Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai ml engineer in Massachusetts?
There is no state-issued license required to work as an ai ml engineer in Massachusetts. The typical path starts with a bachelor's degree in computer science, mathematics, or engineering, and many roles in the state, particularly in biopharma and defense, prefer or require a master's degree. Building a portfolio of deployed models and contributing to open-source projects strengthens applications considerably with Massachusetts employers.
Which companies hire ai ml engineers in Massachusetts?
Employers hiring ai ml engineers in Massachusetts right now include Novo, Apple, and Tempus, based on current listings on Migrate Mate as of November 2026. Massachusetts's concentration of biopharma companies, defense contractors, and enterprise software firms means openings appear consistently across a broad range of industries rather than clustering in a single sector.
Which Massachusetts cities have the most ai ml engineer jobs?
Boston, Cambridge, and Salem have the most ai ml engineer openings in Massachusetts right now. Boston and Cambridge anchor the market through their density of research hospitals, biopharma companies, and university-affiliated startups, while the Route 128 corridor cities draw significant hiring from defense contractors and enterprise technology firms with long-standing Massachusetts operations.
Are there remote ai ml engineer jobs in Massachusetts?
Yes, and more than most fields. About 57% of ai ml engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how naturally the work lends itself to distributed collaboration. Model development, experimentation, and data pipeline work are the most commonly remote components, while roles involving proprietary hardware or regulated clinical data tend to require on-site presence.
How can I get hired as a ai ml engineer in Massachusetts with little or no experience?
The most realistic entry path is a junior or associate ML engineer role reached through a master's program co-op or research assistantship at a Massachusetts university such as MIT, Northeastern, or UMass Amherst, since many Boston-area employers pipeline directly from those programs. Candidates moving laterally from data analyst or data engineer roles are also competitive. A portfolio demonstrating an end-to-end deployed model, even from a personal project, carries significant weight in early-career applications across the state.
Where can I find and apply to ai ml engineer jobs in Massachusetts?
You can find and apply to ai ml engineer jobs in Massachusetts on Migrate Mate, which lists current openings across Greater Boston, the Route 128 corridor, and beyond. Find the roles that fit your background and apply directly from the listings.
See All 13 AI ML Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI ML Engineer Jobs