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
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.