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# software engineering co-ops

- **Company:** PathAI, Inc.
- **Location:** Boston, MA, United States
- **Contract:** Internship / Graduate position
- **Skills:** Amazon Web Services, Cloud Computing, Distributed Systems, Machine Learning, Kubernetes, Information Technology
- **Published:** July 29, 2026
- **Apply:** https://www.dice.com/job-detail/f0a8f35a-6fca-4e84-8304-a8a7452bc451

## About the Role

We're looking for intellectually curious and driven engineering students to help lay the groundwork for our growing machine learning automation systems., * Work ethic. You've had at least one previous employer, whether it's a previous internship in this field, volunteer work, or a summer gig waiting tables.

 * Education. We prefer co-op students pursuing their Bachelor's or Master's in Computer Science or related field, with at least 50% of their degree program completed
 * An insatiable intellectual curiosity and the ability to learn quickly in a complex space

## Description

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.
What You'll Do

 * 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.


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