Machine Learning Engineer - 3D Sensor Simulation

zoox
Foster City, CA
On-site
Full-time
Posted over 1 year ago
Software

Responsibilities

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.
  • Requirements

    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 
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