Senior Machine Learning Engineer - 3D Reconstruction
Core
Senior ML engineer advancing 3D reconstruction technology for high-fidelity photorealistic simulation environments to train autonomous vehicle systems.
Role type
Senior IC machine learning engineer (3D reconstruction)
Builds
Neural Simulation product (photorealistic driving simulations)
Domain
Autonomous driving / 3D computer vision / Graphics
Deliverable
production ML models
Required skills
3D Gaussian Splatting, NeRFs, multi-view geometry, differentiable rendering, Python, PyTorch, C++, CUDA
Preferred skills
feed-forward reconstruction, SfM, SLAM, photogrammetry, computer graphics (ray tracing), autonomous driving data pipelines, peer-reviewed research (CVPR/NeurIPS)
Responsibilities
Advance learning-based reconstruction methods (3D Gaussian Splatting, NeRFs) for dynamic scenes; Scale reconstruction quality and throughput across large fleet data; Define evaluation metrics and validation workflows; Collaborate with Infra and Autonomy teams to deliver end-to-end solutions.
Seniority
Senior, hands-on IC