Senior Machine Learning Engineer - ML Agents and Planning
Zoox(1 month ago)
About this role
This ML Agents and Planning Machine Learning Engineer role sits on Zoox's Offline Driving Intelligence team, which builds foundation models for ML agents and planning in autonomous driving. The position focuses on off-vehicle modeling to improve generalization in simulation and validation and to enhance overall driving performance. The engineer will work at the forefront of machine learning research applied to autonomous vehicles, focusing on agent behavior prediction and planning for the ego vehicle.
Required Skills
- Deep Learning
- Imitation Learning
- Reinforcement Learning
- Trajectory Planning
- Prediction Modeling
- Transformer Models
- Model Deployment
- ML Pipelines
- Dataset Creation
- Training Frameworks
+7 more
Qualifications
- PhD in Computer Science
- PhD in Related Field
- MSc in Relevant Field
About Zoox
zoox.comZoox designs and builds purpose‑built, bidirectional electric robotaxis and the full autonomy stack — hardware, sensors, and software — to enable on‑demand, driverless ride‑hailing. The company takes a safety‑first, rider‑focused approach, engineering vehicles from the ground up for urban, zero‑emission mobility rather than adapting passenger cars. Acquired by Amazon in 2020, Zoox is working to commercialize a complete autonomous mobility service that rethinks ride‑hailing for riders instead of drivers.
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