4 days ago
Remote, United States or Boston, MA, USAIntern
H1B sponsor
Responsibilities
- Design, develop, and evaluate machine learning models for AI products, AI services, and core ML models.
- Work on machine learning roadmap subprojects involving model improvements and novel techniques.
- Partner with MLOps and platform teams to build and improve ML pipelines.
- Participate in experimental design, analysis, design reviews, technical forums, journal clubs, and knowledge-sharing activities.
- Collaborate with scientists, engineers, and product managers to translate clinical needs into scalable ML solutions.
Requirements
- Be enrolled in an M.S. or Ph.D. program in Computer Science, Electrical Engineering, or Biomedical Engineering with a focus on Computer Vision and Machine Learning.
- Have strong Python programming skills and hands-on experience with PyTorch or TensorFlow.
- Understand machine learning and/or computer vision fundamentals.
- Have strong communication skills and a willingness to work collaboratively in a cross-functional environment.
- Preferred: experience with complex open-source projects or AI-based products.
- Preferred: participation in student organizations or leadership activities.
- Preferred: contributions to AI/ML publications.
Benefits
- Fall 2026/Winter 2027 internship or co-op lasting 3–6 months, with 4–6 months preferred.
- Boston, MA or New York, NY location, with potential for remote work for US-based candidates.
- Onsite work three days per week is highly preferred.
- Paid holiday time off.
Categories
About PathAI
PathAI builds AI-powered pathology software and diagnostic services for biopharma, pathology labs, and health systems to support disease detection, clinical trials, and companion diagnostics. Offerings include machine-learning models for digital histopathology and a CLIA-certified lab operation. Founded in 2016 and headquartered in Boston, it operates as part of Quest Diagnostics and focuses heavily on oncology and immunology applications.