Machine Learning Intern/Co-op, PathAI

• 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)
• You are enrolled in a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning
• You have strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow)
• You have a demonstrated level of understanding of the fundamentals of machine learning and/or computer vision
• You have excellent communication skills and a desire to work in a highly collaborative, cross-functional environment
• You have a passion to improve patient lives
• You have previous experience working on complex open-source projects and any AI based products

Desirable

• 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
• Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI
• You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals
• You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions
• This is your chance to contribute to meaningful work that directly relates to patient outcomes
• 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