Senior ML Engineer Jobs in Boston, MA
Senior ML Engineer jobs in Boston are in strong demand, with openings concentrated in the Seaport, Kendall Square, and the Longwood Medical Area across biotech, financial services, and enterprise software. Employers actively hiring include Wayfair, Whoop, and Zoox. Scan the live roles below and apply to whichever ones fit.
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PathAI's mission is to improve patient outcomes with AI-powered pathology.
PathAI is transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact.
We are seeking a highly skilled Senior Software Engineer (MLOps). In this position, you play a key role in designing, developing, and scaling machine learning infrastructure that powers our enterprise AI systems. You're someone who enjoys designing and building for reliability, relishes collaboration and technical challenges, and takes pride in making things work better.
The Opportunity
- You will architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment
- You will drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements.
- You will lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices.
- You will collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production.
- You will optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored.
- You will champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers.
- You will automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools.
Who You Are:
(Required)
- You have a BS or Master's in Computer Science, Computer Engineering, Software Engineering or closely related field.
- You have 5+ years of software engineering experience, with a focus on building production-grade frameworks or applications
- You have strong software engineering skills in complex, multi-language systems and experience with scalable backend architecture.
- You have experience with Kubernetes and cloud computing platforms (AWS preferred).
- You have experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog).
- You have a solid understanding of DevOps principles and infrastructure-as-code (Helm, Terraform).
- You have experience owning development platforms and serving internal customers
- You have a solid level of proficiency in Python + exposure to additional languages
Preferred:
- You have experience with ML frameworks like PyTorch or Scikit-learn.
- You have experience with data workflow orchestration frameworks (e.g., Airflow, Kubeflow).
- You have expertise in MLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML.
- You have experience with streaming data processing (Kafka, Flink, or Spark Streaming).
- You have a solid level of familiarity with security and compliance best practices in ML systems.
- You have experience using AI assistants (e.g. CoPilot, Cursor) in development.
- You have outstanding interpersonal, verbal, and written communication and influencing skills: have built and cultivated important relationships both inside and outside of the organization and externally; have proven abilities to influence internal partners and stakeholders, thought leaders, national advocacy organizations, national standard-setting bodies, and other relevant external parties.
- You have strong analytical and critical thinking skills with attention to detail; you have the ability to manage multiple projects and drive results in a fast-paced environment; you have a collaborative mindset with demonstrated leadership capabilities.
This is a hybrid position based in Boston, MA. (A remote option may be considered for an exceptional candidate.)
Relocation benefits are not available for this position.
The expected salary range for this position based on the primary location Boston, MA is $127,500 - $195,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.
PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
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Find Senior ML Engineer JobsSenior ML Engineer Job Market in Boston
Who's Hiring
- Wayfair10

- Whoop8

- Zoox6

- STR4

- Chewy4

Top Industries Hiring
- Technology & Software14
- Investment & Asset Management8
- Automotive6
- E-Commerce & Online Marketplaces6
- Insurance4
Senior ML Engineer Jobs in Boston: Frequently Asked Questions
How do I get a senior ml engineer job in Boston?
Focus your search on Boston's core hiring clusters: biotech and life sciences firms in the Longwood Medical Area and Cambridge, financial technology companies in the Seaport, and enterprise software companies across the Back Bay and downtown. Candidates who demonstrate production-scale model deployment, strong Python skills, and domain fluency in life sciences or finance move fastest here. Applying directly to mid-size growth companies, not just big tech, widens your options considerably.
Which companies hire senior ml engineers in Boston?
Companies currently hiring senior ml engineers in Boston include Wayfair, Whoop, and Zoox, per current listings on Migrate Mate as of September 2026. Boston's hiring base skews toward research-driven biotech firms, quantitative finance shops, and well-funded software scale-ups rather than a single dominant tech employer.
Are there remote senior ml engineer jobs in Boston?
Yes, though it depends on the role: senior ml engineer positions that emphasize model research and data pipeline work tend to offer more remote flexibility than those requiring on-site lab access or hardware integration. About 27% of senior ml engineer openings tied to Boston are remote or hybrid as of September 2026. Research-focused roles at Boston biotech and software firms are the most likely to support fully remote arrangements.
How can I get a senior ml engineer job in Boston with little or no experience?
The most realistic entry path is through Boston's dense network of biotech and health-tech companies, many of which hire junior ML or data science roles that bridge into senior positions within two to three years. Targeting associate ML engineer or machine learning scientist openings at Cambridge-based research firms, or ML-adjacent roles at Boston fintech companies, builds the production experience senior roles require. Contributing to open-source projects and publishing reproducible work on public repositories strengthens your profile for Boston's research-oriented hiring managers.
Which industries hire the most senior ml engineers in Boston?
Boston senior ml engineer roles concentrate in Technology & Software, Investment & Asset Management, and Automotive, based on current listings on Migrate Mate as of September 2026. Boston's position as a global life sciences hub and its deep cluster of quantitative finance firms make those two sectors especially consistent sources of senior ml engineering demand year-round.
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