ML Engineer Jobs in Boston, MA
ML Engineer jobs in Boston are in strong demand, concentrated in Kendall Square, the Seaport District, and the Longwood Medical Area across biotech, enterprise software, and financial technology. Top employers hiring right now include Wayfair, Whoop, and Zoox. Find a role that fits below and apply directly.
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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 ML Engineer JobsML Engineer Job Market in Boston
Who's Hiring
- Wayfair10

- Whoop8

- Zoox6

- SimpliSafe6

- STR4

Top Industries Hiring
- Technology & Software14
- Automotive6
- E-Commerce & Online Marketplaces6
- Electronics & Hardware4
- Artificial Intelligence4
ML Engineer Jobs in Boston: Frequently Asked Questions
How do I get a ml engineer job in Boston?
Focus on Boston's three biggest hiring clusters: the biotech and life sciences companies anchored in Kendall Square and Longwood, the fintech and asset management firms in the Financial District, and the enterprise software companies in the Seaport. Candidates who pair strong Python and deep learning skills with domain knowledge in healthcare data or quantitative finance stand out locally. Networking through MIT and Harvard research groups also opens doors that job boards alone won't.
Which companies hire ml engineers in Boston?
Employers hiring ml engineers in Boston right now include Wayfair, Whoop, and Zoox, based on current listings on Migrate Mate as of September 2026. Boston's hiring mix skews toward research-driven biotech firms, established financial services companies, and fast-growing software companies that have expanded into the Seaport and Cambridge corridors.
Are there remote ml engineer jobs in Boston?
Yes, though it depends on the role. ML engineering work that is primarily model development, experimentation, and analysis is well-suited to remote arrangements, while positions tied to on-site lab data or proprietary hardware infrastructure tend to require in-person presence. About 26% of ml engineer openings tied to Boston are remote or hybrid as of September 2026, with the highest remote share coming from software and fintech employers in the Seaport and downtown corridors.
How can I get a ml engineer job in Boston with little or no experience?
The most realistic entry path in Boston is targeting junior or associate ML roles at mid-size biotech and healthtech companies in Kendall Square, which hire more entry-level talent than the large financial institutions do. Research assistant and data engineering positions at Boston-area universities and hospital networks, including those in the Longwood Medical Area, are strong lateral moves that build the production ML experience hiring managers want. A portfolio of end-to-end projects involving real datasets, even from academic work, matters more here than credentials alone.
Which industries hire the most ml engineers in Boston?
Most ml engineer openings in Boston sit in Technology & Software, Automotive, and E-Commerce & Online Marketplaces, per current listings on Migrate Mate as of September 2026. Boston's concentration of world-class research hospitals, life sciences companies, and quantitative finance firms creates sustained demand for ML talent across all three sectors, making the city one of the most specialized ml engineering markets in the country.
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