Machine Learning Intern/Co-op

Summary

PathAI develops AI-powered pathology solutions aimed at improving patient outcomes through more accurate disease diagnosis and treatment. The Machine Learning Intern/Co-op will work with AI product and ML Core teams to develop and evaluate machine learning models, improve ML products and pipelines, and collaborate with scientists, engineers, and product managers.

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

Skills

• 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
• The ability to be onsite 3 days a week is highly preferred
• You have previous experience working on complex open-source projects and any AI based products
• You have participated in student organization and/or other leadership activities
• You have contributed to AI/ML publications

Qualifications

Must Haves

• 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

Nice to Haves

• The ability to be onsite 3 days a week is highly preferred
• You have previous experience working on complex open-source projects and any AI based products
• You have participated in student organization and/or other leadership activities
• You have contributed to AI/ML publications

Benefits

• Paid holiday time off