Machine Learning Engineer Jobs in Massachusetts
Machine Learning Engineer jobs in Massachusetts are among the most active in the country, with strong demand concentrated in biotechnology, financial services, robotics, and defense technology, and openings at every level from early-career to principal engineer. Boston, Cambridge, and the Route 128 corridor are the primary hiring hubs, home to anchor employers like MathWorks, Raytheon Technologies, and Partners HealthCare parent Mass General Brigham, which run substantial ML and AI teams. The most in-demand specialties include natural language processing, computer vision, and MLOps engineering. 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.
See All 101+ Machine Learning Engineer Jobs in Massachusetts
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Find JobsMachine Learning Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Machine Learning Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Automotive
- Biotechnology & Pharmaceuticals
- Medical Devices
- Electronics & Hardware
What Massachusetts Employers Look For
The qualifications that appear most often in machine learning engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, statistics, or a closely related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure for model deployment
- Strong foundation in statistics, linear algebra, and applied mathematics for model development
- Ability to communicate model results and trade-offs clearly to non-technical stakeholders
Machine Learning Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a machine learning engineer in Massachusetts?
Machine learning engineering has no state-issued license in Massachusetts, so the path runs through education and demonstrated technical skill. Most Massachusetts employers expect at least a bachelor's degree in computer science, mathematics, or engineering, and many prefer a master's or doctoral degree for research-heavy roles. Building a portfolio of real projects, contributing to open-source work, and completing internships with Massachusetts technology, biotech, or defense firms are the most reliable ways to move from study into a full-time role.
How much do machine learning engineers make in Massachusetts?
Machine learning engineers in Massachusetts earn a median of about $165,210 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $102,810 for the lowest 10% to over $213,970 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in Massachusetts?
Employers hiring machine learning engineers in Massachusetts right now include Whoop, Wayfair, and Microsoft, based on current listings on Migrate Mate as of November 2026. Massachusetts's deep concentration of research hospitals, defense contractors, and life sciences firms means ML roles here often blend domain-specific data science with core software engineering.
Which Massachusetts cities have the most machine learning engineer jobs?
Boston, Cambridge, and Waltham hold the most machine learning engineer openings in Massachusetts. Boston and Cambridge dominate because of the dense cluster of universities, hospitals, and technology firms in those metros, while suburban Route 128 corridor communities contribute significantly through major defense and analytics employers with long-established campuses there.
Are there remote machine learning engineer jobs in Massachusetts?
Yes, and more than most fields. About 46% of machine learning engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how naturally suited the work is to distributed teams. Roles focused on model research, data pipeline development, and experimentation tend to be the most remote-friendly, while positions requiring hands-on access to proprietary hardware or sensitive data are more likely to require on-site presence.
How can I get hired as a machine learning engineer in Massachusetts with little or no experience?
The most realistic entry path is a graduate or associate ML engineer role at a large Massachusetts employer with structured early-career programs, such as the technology divisions of Mass General Brigham, MathWorks, or defense firms in the Route 128 corridor. Candidates transitioning from adjacent roles like data analyst, software developer, or quantitative researcher have a strong foothold. A public portfolio of end-to-end projects, a completed master's degree, or a graduate research position at a Massachusetts university gives early-career applicants a clear advantage in the hiring process.
Where can I find and apply to machine learning engineer jobs in Massachusetts?
You can find and apply to machine learning engineer jobs in Massachusetts on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings for roles that match your experience level and specialty, then apply directly to the ones that fit.
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