Software Engineering, ML Ops Intern/Co-Op
About The Position
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. We're looking for intellectually curious and driven engineering students to help lay the groundwork for our growing machine learning automation systems. Our MLOps team builds and scales the machine learning infrastructure that powers PathAI's enterprise AI systems in research and production production — spanning cloud infrastructure (AWS and on-prem), Kubernetes, distributed systems, and observability. We care as much about reliability and reproducibility as we do about speed: everything we ship should be dependable, well-tested, and easy for other engineers to build on. As a co-op, you'll get a broad, hands-on introduction to ML automation. Timeline: This opportunity is for Fall 2026 / Winter 2027. We are looking for interns/co-ops who can commit to 3 - 6 months at PathAI. (4 - 6 months preferred) Location: Boston, MA This is a hybrid position, with the expectation of 3 days onsite.
Requirements
- You are enrolled in a Bachelor’s or Master’s in Computer Science (or related field.
- You have completed at least 50% of your degree program.
- You have previous work experience: internship in this field, volunteer work, or a summer gig waiting tables.
- You are proactive and have demonstrated the ability to learn quickly in a complex space
Nice To Haves
- You have excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
- You have participated in student organization and/or other leadership activities
Responsibilities
- Solve interesting problems with code.
- Build new features for internal users, and refactor existing ones to make them better.
- Interface directly with team members of all levels
- Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck- deep in low-level systems, and other times you'll be pairing up with to build developer features.
- Collaborate with machine learning and infrastructure teams.
- Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
- Learn and share knowledge with others along the way.
Benefits
- paid holiday time off
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What This Job Offers
Job Type
Full-time
Career Level
Intern
