Senior Machine Learning Engineer

• 5+ years building and shipping ML or computer vision systems
• Hands-on experience with 3DGS and/or NeRFs
• Strong grounding in multi-view geometry, camera models and differentiable rendering
• Python and PyTorch, plus C++ and/or CUDA
• A track record of turning research into production code
• Bonus: feed-forward/generalisable splatting, SLAM/SfM, graphics, AV or robotics data, and publications at CVPR, ECCV, NeurIPS, SIGGRAPH or similar.

I’m partnering with a well-funded autonomy and simulation company whose software is used by most of the world’s major car manufacturers and by defence customers.

The team builds photorealistic simulation from real-world driving data, and they’re hiring senior engineers to improve the reconstruction technology at its core.

What you’ll work on:

• Advancing Gaussian Splatting and NeRF-based reconstruction for large, dynamic driving scenes
• Dynamic actor reconstruction, scene editing and novel view synthesis
• Multi-sensor rendering (camera and LiDAR)
• Feed-forward reconstruction to cut per-scene optimisation cost at scale
• Building benchmarks for reconstruction fidelity and the sim-to-real gap
• Working directly with customers to solve real problems