Machine Learning Engineer (3D Sensor Simulation)

TL;DR

Machine Learning Engineer (3D Sensor Simulation): Developing and optimizing 3D rendering of sensor data using GenAI/ML and modern graphics techniques with an accent on improving sensor fidelity for high-quality synthetic data. Focus on collaborating with various teams to enhance realism and scalability of simulations.

Location: Hybrid (Foster City, CA)

Company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

What you will do

• Research, implement, and optimize state of the art 3D rendering of sensor data.
• 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.
• Improve rendering and ML inference tooling for generating realistic data at scale.

Requirements

• 2+ years of industry experience, and/or PhD, developing neural rendering techniques.
• 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.
• Strong mathematical skills and understanding of 3D linear algebra.