Machine Learning Research Jobs in Massachusetts
Machine Learning Research jobs in Massachusetts are highly active, concentrated in the Boston metro's biotechnology, robotics, and defense technology sectors, with openings at every level from research associate through principal scientist. Cambridge, Boston, and Waltham are the top hiring centers, anchored by institutions and companies like MIT Lincoln Laboratory, Raytheon Technologies, and Biogen, all of which maintain deep, ongoing research teams in the state. The most in-demand specialties are natural language processing, computer vision, and reinforcement learning for healthcare and life sciences applications. Find a role that fits below and apply directly.
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Showing 5 of 12+ Machine Learning Research jobs
Available in 16 locations See allSee all
Research Engineer — Agentic Audio ML Workflows
Description
At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
Job Description
Description
The goal of our team is to develop novel AI-powered audio processing algorithms. The twist is that our algorithms must run in real time, on physical devices. You will build agentic tools and automation that make our audio ML research dramatically faster and more reproducible. The focus is on orchestrating training, evaluation, experimentation, and reporting across many types of AI models, using on-premise and/or cloud GPU infrastructure.
Bose has a strong history of combining creative thinking with cutting-edge audio technology. We are looking for people passionate about machine learning and audio to help shape what comes next.
Responsibilities
- Design and implement agentic workflows that plan, launch, monitor, diagnose, and summarize audio ML experiments, with appropriate human oversight.
- Automate data preparation, model training, hyperparameter searches, benchmarking, regression testing, and result comparison across research projects.
- Build reliable tooling for on-premises GPU scheduling and utilization, experiment tracking, artifact management, and reproducible execution.
- Connect LLM-powered agents to scripts, repositories, datasets, evaluation suites, and compute resources through well-defined tools and safeguards.
- Partner with audio researchers to turn repetitive experiments into reusable workflows and clear dashboards or reports.
Education
Degree in computer science, machine learning, electrical engineering, or a related field, or equivalent practical experience.
Skills
- Strong software engineering and Python skills, with hands-on experience building LLM agents or agentic workflows that invoke tools and execute multi-step tasks.
- Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
- Experience with ML training and evaluation pipelines, PyTorch, experiment tracking, and automated testing.
- Practical experience operating on-premises Linux GPU machines, including CUDA environments, containers, job scheduling, and resource monitoring.
- Working knowledge of audio ML and DSP, including common datasets, audio metrics, and model development workflows.
- Experience with orchestration frameworks, distributed training, CI/CD, or MLOps is a plus.
- Ability to build reliable, observable systems and communicate effectively with research scientists.
Available in 16 locations See allSee all
Research Engineer — Agentic Audio ML Workflows
Description
At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
Job Description
Description
The goal of our team is to develop novel AI-powered audio processing algorithms. The twist is that our algorithms must run in real time, on physical devices. You will build agentic tools and automation that make our audio ML research dramatically faster and more reproducible. The focus is on orchestrating training, evaluation, experimentation, and reporting across many types of AI models, using on-premise and/or cloud GPU infrastructure.
Bose has a strong history of combining creative thinking with cutting-edge audio technology. We are looking for people passionate about machine learning and audio to help shape what comes next.
Responsibilities
- Design and implement agentic workflows that plan, launch, monitor, diagnose, and summarize audio ML experiments, with appropriate human oversight.
- Automate data preparation, model training, hyperparameter searches, benchmarking, regression testing, and result comparison across research projects.
- Build reliable tooling for on-premises GPU scheduling and utilization, experiment tracking, artifact management, and reproducible execution.
- Connect LLM-powered agents to scripts, repositories, datasets, evaluation suites, and compute resources through well-defined tools and safeguards.
- Partner with audio researchers to turn repetitive experiments into reusable workflows and clear dashboards or reports.
Education
Degree in computer science, machine learning, electrical engineering, or a related field, or equivalent practical experience.
Skills
- Strong software engineering and Python skills, with hands-on experience building LLM agents or agentic workflows that invoke tools and execute multi-step tasks.
- Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
- Experience with ML training and evaluation pipelines, PyTorch, experiment tracking, and automated testing.
- Practical experience operating on-premises Linux GPU machines, including CUDA environments, containers, job scheduling, and resource monitoring.
- Working knowledge of audio ML and DSP, including common datasets, audio metrics, and model development workflows.
- Experience with orchestration frameworks, distributed training, CI/CD, or MLOps is a plus.
- Ability to build reliable, observable systems and communicate effectively with research scientists.
See All 12 Machine Learning Research Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find JobsMachine Learning Research Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Machine Learning Research Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Medical Devices
What Massachusetts Employers Look For
The qualifications that appear most often in machine learning research jobs across Massachusetts.
- Master's or PhD in computer science, statistics, or a directly related quantitative field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and training large-scale machine learning models on real datasets
- Published research or a demonstrable portfolio of applied ML projects
- Familiarity with cloud computing environments such as AWS, Google Cloud, or Azure
- Strong written and verbal communication skills for presenting research findings to cross-functional teams
Machine Learning Research Jobs in Massachusetts: Frequently Asked Questions
How do you become a machine learning research in Massachusetts?
Machine learning research roles in Massachusetts do not require a state-issued license, but employers consistently expect at minimum a master's degree, with many Cambridge and Boston research labs preferring a PhD in computer science, mathematics, or a related field. The typical path involves graduate study, a thesis or published work demonstrating independent research, and internship experience at a Massachusetts academic institution or industry lab before moving into a full-time research position.
Which companies hire machine learning researchs in Massachusetts?
Employers hiring machine learning researchs in Massachusetts right now include Microsoft, STR, and Bose, based on current listings on Migrate Mate as of November 2026. Massachusetts's dense concentration of research universities and biotech corridors means many of these employers offer both applied industry positions and roles with an academic collaboration component.
Which Massachusetts cities have the most machine learning research jobs?
Cambridge, Milford, and Boston have the most machine learning research openings in Massachusetts. The Greater Boston area, including Cambridge, drives the bulk of demand through its university spin-offs, major research hospitals, and defense contractors, while Waltham and Burlington attract openings from established tech and life sciences companies that have clustered along the Route 128 corridor over several decades.
Are there remote machine learning research jobs in Massachusetts?
Yes, and more than most fields, since machine learning research work is fundamentally computational and does not require physical presence. About 33% of machine learning research openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how portable the work is. Modeling, experimentation, and paper writing transfer well to remote arrangements, though roles involving proprietary hardware, classified defense projects, or wet-lab data collection at Massachusetts research institutions typically remain on-site.
How can I get hired as a machine learning research in Massachusetts with little or no experience?
The most realistic entry path is a research internship or co-op at a Massachusetts university lab or teaching hospital, since institutions like Harvard, MIT, and Boston University regularly place students into paid research assistant roles that serve as direct pipelines to full-time positions. Candidates without a graduate degree can strengthen their profile by completing a rigorous applied ML portfolio, contributing to open-source projects, and targeting associate research scientist or junior ML engineer titles at mid-size biotech and robotics companies concentrated along Route 128, where competition is lower than at flagship Cambridge labs.
Where can I find and apply to machine learning research jobs in Massachusetts?
You can find and apply to machine learning research jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings in one place. Find roles that fit your background and apply directly to the employers posting them.
See All 12 Machine Learning Research Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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