At PathAI, we’re dedicated to improving patient outcomes with AI-powered pathology and meaningful collaboration with biopharma, laboratories and clinicians. Backed by General Catalyst.
About the role
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.
What they're looking for
- 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
More about this role
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.
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...
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