Responsibilities
- Design and implement state-of-the-art models for reconstructing 3D representations of human anatomy from video input using techniques such as signed distance functions, neural radiance fields, Gaussian Splatting, or mesh-based methods.
- Build scalable data processing pipelines capable of interpreting non-Euclidean geometric data to derive accurate clinical measurements from imperfect, real-world medical scans.
- Integrate AI-driven 3D reconstructions with parametric computer-aided design systems to enable seamless preparation for automated 3D printing workflows.
- Quickly experiment with, adapt, and integrate emerging research in artificial intelligence and computer vision into production-grade systems.
- Collaborate with engineering teams to deploy machine learning models in cloud environments using AWS and serverless architectures, ensuring high precision and reliability at scale.
Work Arrangement
On-site — San Francisco, Rincon Hill
