Senior ML Engineer Jobs in Massachusetts
Senior ML Engineer jobs in Massachusetts are among the most actively recruited roles in the region, concentrated in biotech, financial services, robotics, and enterprise software across a market that ranges from early-career machine learning engineers through principal-level researchers. Boston and Cambridge drive the bulk of hiring, anchored by companies like Google, Amazon, and Biogen, with a secondary cluster in Waltham and Burlington along Route 128. The most in-demand specialties are large language model fine-tuning, computer vision for life sciences applications, and MLOps infrastructure. 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 94 Senior ML Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Senior ML Engineer 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
- Artificial Intelligence
What Massachusetts Employers Look For
The qualifications that appear most often in senior ML engineer jobs across Massachusetts.
- Master's or PhD in computer science, statistics, or a related quantitative field
- Five or more years of experience building and deploying machine learning models in production
- Proficiency in Python and core ML frameworks such as PyTorch or TensorFlow
- Experience with cloud ML platforms including AWS SageMaker, Azure ML, or Google Vertex AI
- Demonstrated ability to lead model design reviews and mentor junior engineers on the team
- Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar pipeline orchestration systems
Senior ML Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a senior ml engineer in Massachusetts?
Senior ml engineer roles in Massachusetts do not require a state-issued license or registration. The typical path starts with a bachelor's or master's degree in computer science, applied mathematics, or a related field, followed by several years building production ML systems. Massachusetts employers, particularly those in biotech and fintech, place strong weight on demonstrated project ownership, published research, or a public portfolio of deployed models when evaluating candidates for senior-level positions.
How much do senior ML engineers make in Massachusetts?
Senior ML engineers in Massachusetts earn a median of about $109,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $55,740 for the lowest 10% to over $183,460 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in Massachusetts?
Employers hiring senior ml engineers in Massachusetts right now include Whoop, Wayfair, and Lila Sciences, based on current listings on Migrate Mate as of November 2026. Massachusetts's concentration of biotech firms, financial technology companies, and robotics startups along the Route 128 corridor means hiring tends to be broad across industries rather than limited to a single sector.
Which Massachusetts cities have the most senior ml engineer jobs?
The cities with the most senior ml engineer openings in Massachusetts are Boston, Cambridge, and Waltham. Boston and Cambridge dominate because of their dense cluster of research hospitals, university spinouts, and major tech offices, while suburban hubs like Waltham and Burlington attract large employers who established campuses along the Route 128 technology corridor decades ago.
Are there remote senior ml engineer jobs in Massachusetts?
Yes, and more than most fields. About 44% of senior ml engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how much of the work involves code, data pipelines, and model experiments that travel well over a laptop. Model design reviews and stakeholder presentations are the parts most likely to require occasional in-person presence for Massachusetts-based roles.
How can I get hired as a senior ml engineer in Massachusetts with little or no experience?
The most realistic entry path is through a machine learning engineer or data scientist role at a Massachusetts employer, then building toward seniority. Companies like Biogen, Liberty Mutual, and MathWorks hire associate or mid-level ML engineers and promote from within. New graduates can strengthen their candidacy with a strong GitHub portfolio, contributions to open-source ML projects, or a research publication from a Massachusetts university lab. Lateral moves from data engineering or quantitative analysis roles are common and well-recognized by Boston-area hiring teams.
Where can I find and apply to senior ml engineer jobs in Massachusetts?
You can find and apply to senior ml engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings across industries. Find the roles that fit your background and apply directly from the listings on this page.
See All 94 Senior ML Engineer Jobs in Massachusetts
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