Zoox
Machine Learning Engineer - 3D Sensor Simulation
Foster City, CA · On-site · Unspecified
- Discipline
- Software
- Industry
- Automotive
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Software
Zoox seeks a ML professional to apply ML to 3D sensor data and improve realism of simulated sensors for autonomous vehicle AI, spanning learned sensor models and neural 3D reconstruction in a high-fidelity simulation environment.
Required
- machine learning
- sensor data
- LiDAR
- radar
- cameras
- 3D simulation
- neural networks
- sensor models
Preferred
- volume rendering
- 3D reconstruction
- autonomous vehicles
- simulation realism
- domain adaptation
Benefits
- unspecified
Employer description
The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras.
This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans.
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