AI ML Intern Jobs in Massachusetts
AI ML Intern jobs in Massachusetts are concentrated in biotech, robotics, and enterprise software, with the state ranking among the most active markets in the country for early-career machine learning talent. Boston, Cambridge, and Burlington are the primary hiring hubs, home to anchor employers like Raytheon Technologies, Mass General Brigham, and IBM. The most in-demand specialties are natural language processing, computer vision, and predictive analytics applied to healthcare and defense systems. See the openings below and apply to the ones that match your experience.
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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 Intern Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI ML Intern JobsAI ML Intern Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI ML Intern 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 intern jobs across Massachusetts.
- Currently enrolled in a BS or MS program in computer science, data science, or engineering
- Hands-on experience with Python and at least one ML framework such as TensorFlow or PyTorch
- Familiarity with supervised and unsupervised learning algorithms and model evaluation techniques
- Experience working with large datasets using SQL, pandas, or similar data manipulation tools
- Strong mathematical foundation in linear algebra, probability, and statistics
- Ability to communicate model results clearly to both technical and non-technical audiences
AI ML Intern Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai ml intern in Massachusetts?
The path to an ai ml intern role in Massachusetts runs through a bachelor's or master's program in computer science, data science, or a related field at one of the state's many research universities. Massachusetts requires no state-issued license for this role. Employers look for coursework in machine learning and statistics, completed projects on platforms like GitHub, and research experience gained through university labs at institutions such as MIT, Harvard, or Northeastern.
Which companies hire ai ml interns in Massachusetts?
Companies currently hiring ai ml interns in Massachusetts include Novo, Apple, and Tempus, per current listings on Migrate Mate as of November 2026. Massachusetts's deep concentration of defense contractors, hospital systems, and venture-backed AI startups means intern openings appear across a wider range of industries than in most other states.
Which Massachusetts cities have the most ai ml intern jobs?
Boston, Cambridge, and Salem lead Massachusetts for ai ml intern openings. Boston and Cambridge dominate because of their dense cluster of research hospitals, university spin-offs, and technology companies, while Burlington and Waltham draw demand from established defense and enterprise software employers anchored along the Route 128 corridor.
Are there remote ai ml intern jobs in Massachusetts?
Yes, and more than most fields. About 57% of ai ml intern openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how much of the work centers on model development and data analysis that travels well. The most fully remote positions tend to focus on data pipeline work and model prototyping rather than roles requiring access to proprietary lab infrastructure.
How can I get hired as a ai ml intern in Massachusetts with little or no experience?
The most realistic entry path is applying to structured internship programs at Massachusetts research hospitals or large tech employers, where cohort-based programs regularly accept students who have coursework but limited professional experience. Mass General Brigham, MIT Lincoln Laboratory, and the MathWorks all run new-grad and intern pipelines that value strong academic projects over prior work history. A well-documented GitHub portfolio and one completed Kaggle competition or university capstone project give candidates a concrete edge when professional experience is thin.
Where can I find and apply to ai ml intern jobs in Massachusetts?
You can find and apply to ai ml intern jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings in one place. Search the listings for roles that fit your background, then apply directly to the ones that match your skills and availability.
See All 13 AI ML Intern Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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