Tech Stack

Description

You will contribute to the design, development, and evaluation of machine learning models for AI products, working cross-functionally with teams to translate clinical needs into scalable ML solutions.

Requirements

• Currently pursuing M.S. or Ph.D. in CS, EE, Biomedical Engineering with focus on CV/ML
• Strong Python skills and hands-on experience with PyTorch or TensorFlow
• Solid grasp of ML and computer vision fundamentals
• Excellent communication and collaboration skills
• Passion for improving patient outcomes

Responsibilities

• Contribute to design, development, and evaluation of ML models for AI products and services
• Work on subprojects from ML product roadmap with novel techniques
• Partner with MLOps and platform teams to build and improve ML pipelines
• Participate in experimental design, analysis, and design reviews
• Engage in technical forums, journal clubs, and knowledge-sharing initiatives