ML Engineer Jobs in Massachusetts
ML Engineer jobs in Massachusetts are among the most active in the country, concentrated in biotech and life sciences, financial technology, robotics, and enterprise software, with openings at every level from entry-level associate to principal and staff engineer. The heaviest hiring is in Greater Boston and Cambridge, with a secondary cluster in the Route 128 corridor, where companies like MathWorks, Wayfair, and Biogen have long-established engineering teams. The most in-demand specialties right now are natural language processing, computer vision, and MLOps and model deployment infrastructure. Find a role that fits below and apply directly.
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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 102+ ML Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
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
- Automotive
- Biotechnology & Pharmaceuticals
- Medical Devices
- Electronics & Hardware
What Massachusetts Employers Look For
The qualifications that appear most often in ML engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, statistics, or a closely related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model hosting and data pipelines
- Strong understanding of data preprocessing, feature engineering, and statistical modeling techniques
- Experience collaborating with cross-functional teams including data engineers, product managers, and software developers
ML Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ml engineer in Massachusetts?
ML engineering in Massachusetts has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most Massachusetts employers expect at minimum a bachelor's degree in computer science, mathematics, or a related field, with a master's degree increasingly common for mid-level roles. Building a portfolio of deployed projects, contributing to open-source work, and completing graduate coursework at institutions like MIT, Northeastern, or UMass Amherst strengthens candidacy considerably.
Which companies hire ml engineers in Massachusetts?
Employers hiring ml engineers in Massachusetts right now include Whoop, Wayfair, and Microsoft, based on current listings on Migrate Mate as of November 2026. Massachusetts's concentration of biotech firms, robotics companies, and financial services organizations means demand is spread across multiple industries rather than concentrated in a single sector.
Which Massachusetts cities have the most ml engineer jobs?
Boston, Cambridge, and Waltham have the most ml engineer openings in Massachusetts. Boston and Cambridge drive the bulk of demand through their dense clusters of biotech firms, academic medical centers, and technology companies, while the Route 128 corridor cities attract openings from established software and defense technology employers with long-standing engineering operations in the suburbs.
Are there remote ml engineer jobs in Massachusetts?
Yes, and more than most fields. About 47% of ml engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how much of the work involves writing code, training models, and analyzing data rather than being physically on-site. Model evaluation, experiment tracking, and pipeline development are the functions most likely to be performed fully remotely.
How can I get hired as a ml engineer in Massachusetts with little or no experience?
The most realistic entry path is through a machine learning or data science associate role, which larger Massachusetts employers use to bring in candidates who have academic project experience but limited industry tenure. Biotech and pharmaceutical companies along the Route 128 corridor, including those in Waltham and Lexington, regularly hire recent graduates from local universities into junior data science and ML engineering roles. A strong GitHub portfolio demonstrating end-to-end model deployment, combined with coursework or a master's from a Massachusetts institution, gives candidates a meaningful edge over general applicants.
Where can I find and apply to ml engineer jobs in Massachusetts?
You can find and apply to ml 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 ones that match.
See All 102+ ML Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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