Senior Machine Learning Engineer - 3D Reconstruction

Job summary

Responsibilities

We are looking for senior machine learning engineers to advance the core reconstruction technology behind Neural Simulation, our state-of-the-art product for turning real-world driving data into high-fidelity, photorealistic simulation environments.

• 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…
• 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

What they're looking for

• 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

Tech stack

• Python
• PyTorch
• C++
• CUDA