Machine Learning Jobs in Boston, MA
Machine learning jobs in Boston are concentrated in the Longwood Medical Area, Kendall Square, and the Seaport District, with strong demand in biotech, healthcare AI, and financial technology from employers including Whoop, Wayfair, and Zoox. The city's density of research institutions and venture-backed startups keeps hiring active across ML engineering, NLP, and computer vision roles. See the openings below and apply to the ones that match your experience.
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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 Machine Learning JobsMachine Learning Job Market in Boston
Who's Hiring
- Whoop10

- Wayfair10

- Zoox6

- SimpliSafe6

- STR4

Top Industries Hiring
- Technology & Software16
- Automotive6
- E-Commerce & Online Marketplaces6
- Staffing & Recruiting4
- Electronics & Hardware4
Machine Learning Jobs in Boston: Frequently Asked Questions
How do I get a machine learning job in Boston?
Focus your search on the Longwood Medical Area for healthcare AI roles, Kendall Square for biotech and research-driven positions, and the Seaport for fintech and enterprise software companies. Boston employers consistently prioritize candidates with hands-on experience in Python, PyTorch, or TensorFlow and a strong portfolio of applied ML projects. Connections through MIT, Harvard, and Northeastern alumni networks carry real weight in this market.
Which companies hire machine learnings in Boston?
Boston machine learning roles are posted by Whoop, Wayfair, and Zoox and others right now, based on current listings on Migrate Mate as of September 2026. The local employer mix is especially broad, ranging from large healthcare systems and biotech firms to fintech scale-ups and defense contractors clustered around the Route 128 corridor.
Are there remote machine learning jobs in Boston?
Yes, though availability depends on the role. Analytical and modeling-focused positions tend to be more remote-friendly, while roles tied to lab data pipelines or on-site infrastructure are typically in-person. About 27% of machine learning openings tied to Boston are remote or hybrid as of September 2026, with Seaport-based tech and fintech employers offering the most flexible arrangements.
How can I get a machine learning job in Boston with little or no experience?
The most realistic entry path in Boston is through a research assistant or data analyst role at one of the city's academic medical centers or university-affiliated labs, where applied ML work is abundant and mentorship is structured. Boston's biotech and healthtech startups in the Fenway and Cambridge corridors regularly hire junior ML engineers who can demonstrate project work on GitHub. Co-op programs through Northeastern and internships at Kendall Square companies are also a strong on-ramp.
Which industries hire the most machine learnings in Boston?
Boston machine learning roles concentrate in Technology & Software, Automotive, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of September 2026. Boston's unusual density of world-class hospitals, life sciences companies, and asset management firms creates sustained, specialized demand for ML talent that goes well beyond typical tech-hub hiring patterns.
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