Machine Learning Engineer - 3D Sensor Simulation
@ ZooxMachine Learning Engineer - 3D Sensor Simulation
This job is still taking applications, but it's been up a while.
About the job
Zoox develops autonomous vehicles and ecosystem tech, combining robotics, ML, and design to revolutionize urban mobility. Join their innovative, fast-moving team to impact the future of transportation.
Requirements
- 2+ years of industry experience
- Experience with neural rendering
- Proficiency in Python/C++
- Knowledge of ML frameworks
- Understanding of 3D graphics
Qualifications
- Master's or PhD preferred
- Experience with 3D content pipelines
- Background in simulation or VFX
- Strong mathematical skills
Full job description
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
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