Zoox
Software Engineer - Learned Trajectory Machine Learning Engineer
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
The Learned Trajectory Machine Learning Engineer will develop deep learned models that produce vehicle trajectories, collaborating with Planner, Perception, and Validation teams to advance behavior forecasting and motion planning for on-vehicle and off-vehicle ML capabilities.
Required
- ML
- deep learned models
- trajectories
- motion planning
- behavior forecasting
- planner collaboration
- Perception teams
- simulation
Employer description
The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance.
As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior.
Stateside Spec lists roles for engineering teams in the United States. Work-authorization notes come from the employer. We do not guarantee visa policy. Apply off-site. Report an issue with this listing View employer source