Senior Machine Learning Engineer - 3D Reconstruction

What you'll do

• Advance neural reconstruction methods and scale reconstruction across large, dynamic driving datasets.
• Build evaluation metrics, benchmarks, and validation workflows for reconstruction fidelity and sim-to-real gap.
• Work with customers and cross-functional teams to deliver solutions for Neural Simulation.

What they ask for

• 5+ years developing and shipping ML or computer vision systems.
• Hands-on experience with learning-based 3D reconstruction techniques such as 3D Gaussian Splatting and NeRFs; foundation in multi-view geometry, camera models, and differentiable rendering.
• Proficiency in Python and PyTorch, along with C++ and/or CUDA.
• Bachelor’s degree or higher in computer science, physics, robotics, or equivalent; ability to turn research into production-quality software.

Nice to have

• Experience with feed-forward or generalizable reconstruction models, autonomous driving or robotics, or multi-sensor data.
• Computer vision or graphics background, published research, or a Master’s degree or PhD in a related field.

Pay

$190K – $260K USD base salary

Tools

3D Gaussian Splatting, NeRFs, Python, PyTorch, C++, CUDA, camera, LiDAR

AI focus

Develop learning-based 3D reconstruction for photorealistic simulation, including dynamic scene reconstruction, novel-view synthesis, multi-sensor rendering, and feed-forward approaches.