Machine Learning Intern/Co-op (Summer/Fall 2026) at PathAI · Boston

Summary: PathAI is dedicated to improving patient outcomes through AI-powered pathology. They are seeking a Machine Learning Intern/Co-op to contribute to the design and development of machine learning models, collaborating with cross-functional teams to translate clinical needs into scalable solutions. Responsibilities: - Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models - Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques - Partner with our MLOps and platform teams to help build and improve our ML pipelines - Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs Required Qualifications: - Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning - Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) - A solid grasp of the fundamentals of machine learning and/or computer vision - Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment - A passion for our mission to improve patient outcomes Preferred Qualifications: - Any high impact contributions through any AI/ML publications, open-source projects and any AI based products Required Skills: Machine Learning, Computer Vision, Python Important Skills: PyTorch, TensorFlow Internship Start Date: Start in 2026 Summer