Senior Machine Learning Engineer

• Help build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy
• Own the pipeline that bridges raw computer vision data and physical 3D-printed medical solutions, transforming noisy real-world scans into precise, CAD-compatible models used to improve patient outcomes
• Work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare

• Strong experience building models for 3D reconstruction from video or images, including approaches such as: Signed Distance Fields (SDFs)
• Neural Radiance Fields (NeRFs)
• Gaussian Splatting
• Mesh-based reconstruction
• Point cloud processing
• Deep experience designing and training deep learning models for complex visual data, including non-Euclidean data structures
• Strong proficiency in Python and PyTorch
• Experience working with computational geometry, CAD systems, or mesh processing pipelines
• Experience deploying machine learning systems in production environments
• Experience with ML infrastructure on AWS, including model deployment, scalable inference pipelines, and optimizing performance for real-world usage

Experience with SageMaker, Lambda, or serverless ML systems

Equity