Senior / Staff Software Engineer - Learned Trajectory Machine Learning Engineer
Zoox · Hybrid
This listing is no longer verified as available.
MeritLog keeps this source-backed description for reference. Availability is not verified, and there is no application link here.
Source: the employer's Lever job board. Open the original listing for current details. Availability is not verified for this retained page.
Job details
- Work model
- Hybrid
- Salary
- Not listed by source
- Location
- Foster City, CA
Job 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.