AI Intern Jobs in Massachusetts
AI Intern jobs in Massachusetts draw strong demand, concentrated in Boston's life sciences corridor, Cambridge's AI research ecosystem, and the Route 128 technology belt, with openings at every level from sophomore-year practicums to pre-doctoral fellowships. Boston, Cambridge, and Waltham account for the largest share of postings, where anchor employers like Google, Microsoft, and Mass General Brigham regularly bring on ai interns. The most sought-after specialties include natural language processing, computer vision, and ML engineering. See the openings below and apply to the ones that match your experience.
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DESCRIPTION
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Science Manager with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to lead a team ensuring the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Science Manager will lead and mentor a team of Applied Scientists who develop comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. The manager will guide the team in designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that align with core scientist team developing Amazon Nova models. The Applied Science Manager will oversee expert-level manual audits, meta-audits to evaluate auditor performance, and provide coaching to uplift overall quality capabilities across the team. A critical aspect of this role involves managing the development and maintenance of LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Science Manager will also oversee the configuration of data collection workflows and ensure effective communication of quality feedback to stakeholders. The manager will have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
The Applied Science Manager will be responsible for recruiting, hiring, and developing team members, conducting performance reviews, setting clear expectations and growth plans, and fostering a culture of scientific excellence and innovation. The manager will communicate with senior leadership, cross-functional technical teams, and customers to collect requirements, describe product features and technical designs, and articulate product strategy.
A day in the life
An Applied Science Manager with the AGI team will lead quality solution design, guide root cause analysis on data quality issues, drive research into new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. The manager will work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice. The manager will also conduct regular 1:1s with team members, provide mentorship and coaching, and ensure the team delivers high-impact results aligned with organizational goals.
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 183,800.00 - 248,700.00 USD annually
USA, WA, BELLEVUE - 183,800.00 - 248,700.00 USD annually
DESCRIPTION
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Science Manager with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to lead a team ensuring the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Science Manager will lead and mentor a team of Applied Scientists who develop comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. The manager will guide the team in designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that align with core scientist team developing Amazon Nova models. The Applied Science Manager will oversee expert-level manual audits, meta-audits to evaluate auditor performance, and provide coaching to uplift overall quality capabilities across the team. A critical aspect of this role involves managing the development and maintenance of LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Science Manager will also oversee the configuration of data collection workflows and ensure effective communication of quality feedback to stakeholders. The manager will have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
The Applied Science Manager will be responsible for recruiting, hiring, and developing team members, conducting performance reviews, setting clear expectations and growth plans, and fostering a culture of scientific excellence and innovation. The manager will communicate with senior leadership, cross-functional technical teams, and customers to collect requirements, describe product features and technical designs, and articulate product strategy.
A day in the life
An Applied Science Manager with the AGI team will lead quality solution design, guide root cause analysis on data quality issues, drive research into new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. The manager will work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice. The manager will also conduct regular 1:1s with team members, provide mentorship and coaching, and ensure the team delivers high-impact results aligned with organizational goals.
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 183,800.00 - 248,700.00 USD annually
USA, WA, BELLEVUE - 183,800.00 - 248,700.00 USD annually
See All 14 AI Intern Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI Intern JobsAI Intern Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI Intern Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Law & Legal Services
- Technology & Software
- Healthcare & Medical Services
- Biotechnology & Pharmaceuticals
What Massachusetts Employers Look For
The qualifications that appear most often in AI intern jobs across Massachusetts.
- Current enrollment in a bachelor's or master's program in computer science, data science, or a related field
- Demonstrated Python proficiency with hands-on experience in TensorFlow, PyTorch, or similar ML frameworks
- Coursework or project experience in machine learning, deep learning, or statistical modeling
- Ability to work on-site or hybrid in Massachusetts for the duration of the internship term
- Strong written and verbal communication skills for presenting findings to technical and non-technical audiences
- Familiarity with data preprocessing, model evaluation, and version control using Git
AI Intern Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai intern in Massachusetts?
Becoming an ai intern in Massachusetts starts with enrollment in a computer science, data science, or related degree program at a Massachusetts university, as most employers require active student status. No state-issued license is required for this role. Building a project portfolio on platforms like GitHub, completing coursework in machine learning and statistics, and networking through Massachusetts university career fairs and campus recruiting events significantly improve your chances.
Which companies hire ai interns in Massachusetts?
Employers hiring ai interns in Massachusetts right now include Amazon, Plymouth Rock Assurance, and SS&C, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of research universities and technology companies means hiring is especially active in Cambridge, Boston, and the Route 128 corridor throughout the academic year.
Which Massachusetts cities have the most ai intern jobs?
Boston, Cambridge, and Waltham have the most ai intern openings in Massachusetts. Boston and Cambridge dominate because of their dense cluster of research hospitals, technology firms, and universities, while Waltham and Burlington attract postings from the established enterprise technology companies headquartered along the Route 128 corridor.
Are there remote ai intern jobs in Massachusetts?
Yes, and more than most fields. About 57% of ai intern openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting the desk-based and computational nature of the work. Research and data-focused rotations are the most likely to be fully remote, while lab-adjacent or hardware-integrated roles typically require on-site presence.
How can I get hired as a ai intern in Massachusetts with little or no experience?
The most realistic entry path is applying directly through your university's recruiting program, as Massachusetts employers like Google, Microsoft, and Mass General Brigham run structured intern cohorts specifically targeting students without prior industry experience. Completing a strong academic project, contributing to an open-source ML repository, or finishing a recognized online certification in machine learning gives your application a concrete edge when professional experience is thin.
Where can I find and apply to ai intern jobs in Massachusetts?
You can find and apply to ai intern jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings updated regularly. Search the listings to find roles that match your program, skills, and availability, then apply directly to the ones that fit.
See All 14 AI Intern Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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