ML Research Engineer Jobs in Massachusetts
ML Research Engineer jobs in Massachusetts are among the most active in the country, concentrated in life sciences AI, robotics, and large language model development, with demand from entry-level research associates through principal scientists. Boston, Cambridge, and the Route 128 corridor account for the largest share of openings, anchored by employers such as MIT Lincoln Laboratory, Google, and Moderna. Model interpretability, reinforcement learning, and multimodal systems are the specialties drawing the most consistent interest from Massachusetts hiring teams. Find a role that fits below and apply directly.
Find ML Research Engineer JobsOverview
Showing 5 of 12+ ML Research Engineer 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 ML Research Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find ML Research Engineer JobsML Research Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
ML Research Engineer 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 ML research engineer jobs across Massachusetts.
- PhD or MS in machine learning, computer science, statistics, or a closely related field
- Demonstrated research output such as peer-reviewed publications or conference papers at NeurIPS, ICML, or ICLR
- Strong proficiency in Python and deep learning frameworks including PyTorch or JAX
- Experience designing and running large-scale experiments on distributed computing infrastructure
- Ability to translate research findings into production-ready models or prototypes for applied teams
- Familiarity with responsible AI principles, model evaluation, and bias mitigation methodologies
ML Research Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ml research engineer in Massachusetts?
Most ml research engineers in Massachusetts enter the field through a graduate degree, typically a master's or PhD in machine learning, computer science, or a related discipline from institutions such as MIT, Harvard, or Boston University. The role carries no state-issued license or board registration in Massachusetts. Employers here weigh research output heavily, so a strong publication record or a well-documented project portfolio is the most direct path to clearing the initial screening.
Which companies hire ml research engineers in Massachusetts?
Employers hiring ml research engineers 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 biotech, defense technology, and AI software firms means openings appear across a broader range of industries than in most other states.
Which Massachusetts cities have the most ml research engineer jobs?
Cambridge, Milford, and Boston have the most ml research engineer openings in Massachusetts. Boston and Cambridge dominate because of the research universities, venture-backed AI startups, and major tech campuses concentrated there, while suburban Route 128 cities attract additional openings from established defense contractors and biopharma companies that maintain large R&D operations outside the urban core.
Are there remote ml research engineer jobs in Massachusetts?
Yes, and more than most fields. About 33% of ml research engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how much of the work involves coding, experimentation, and analysis rather than on-site equipment. Fully remote positions tend to concentrate in pure research and modeling roles, while positions requiring access to proprietary hardware or lab infrastructure are more likely to require on-site presence.
How can I get hired as a ml research engineer in Massachusetts with little or no experience?
The most realistic entry path is a research internship or a co-op position, which MIT, Northeastern, and Boston University facilitate through structured industry partnerships with Massachusetts employers. Candidates without a graduate degree can target research engineer associate roles at companies like Raytheon Technologies or Dana-Farber Cancer Institute that hire strong undergraduates for applied ML support work. A documented GitHub portfolio showing original model implementations or replicated papers from recent top-tier conferences gives candidates without industry history a concrete edge in Massachusetts screening processes.
Where can I find and apply to ml research engineer jobs in Massachusetts?
You can find and apply to ml research engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings across industries and experience levels. Find roles that fit your background and apply directly to the employers posting them.
See All 12 ML Research Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find ML Research Engineer Jobs