Machine Learning Engineer - 3D Sensor Simulation

In this role, you will:

• Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics.
• Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity.
• Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data.
• Improve rendering and ML inference tooling for generating realistic data at scale.

Qualifications

• 2+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction
• 2+ years of experience developing software with Python and/or modern C++
• Expertise with machine learning frameworks PyTorch or Tensorflow
• Familiarity with 3D graphics algorithms, such as 3D geometry and camera models
• Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniques

Bonus Qualifications

• Master's or PhD in computer science, mathematics, physics, or related field
• Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.
• Experience in 3D rendering for simulation, games, cloud computing, or VFX