Senior Machine Learning Engineer - 3D Reconstruction

Job description

Job responsibilities

• Advance the learning-based reconstruction methods at the core of our product, such as 3D Gaussian Splatting and NeRFs, bringing the latest research into production to improve fidelity, robustness, and scalability
• Push the limits of neural reconstruction for large-scale, dynamic driving scenes, including: Dynamic actor reconstruction and scene editing
• Novel view synthesis and multi-sensor rendering (camera, LiDAR)
• Scaling reconstruction quality and throughput across large volumes of fleet data
• Explore and productionize feed-forward reconstruction approaches that reduce per-scene optimization cost and enable reconstruction at scale
• Define and build evaluation metrics, benchmarks, and validation workflows that measure reconstruction fidelity and sim-to-real gap
• Work closely with customers to understand their pain points and implement technical solutions in the Neural Simulation product
• Collaborate closely with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions

Job requirements

• 5+ years of experience developing and shipping ML or computer vision systems
• A minimum of a Bachelor's degree in computer science, physics, robotics, or equivalent
• Strong hands-on experience with modern learning-based 3D reconstruction techniques, such as 3D Gaussian Splatting and NeRFs
• A solid foundation in multi-view geometry, camera models, and differentiable rendering
• Proficiency in Python and PyTorch, along with C++ and/or CUDA
• A proven ability to turn research ideas into robust, production-quality software
• Strong problem-solving skills and comfort with ambiguity