Level

PathAI

Software Engineering, ML Ops Intern/Co-Op

AI in this role

ml-ops

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.

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.

Who You Are:

  • 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

Preferred:

  • 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

The expected salary range for this position based on the primary location of Boston, MA is $30-50 per hour. Actual pay will be determined on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off.

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.

How we score this

Software Engineering, ML Ops Intern/Co-Op at PathAI scores 25 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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