Machine Learning Engineer - ML Agents and Planning

zoox · Foster City, CA

Posted
31 days ago
Last confirmed live
1 day ago

What this role involves

The Offline Driving Intelligence team at Zoox develops foundation models for ML agents and planning, applied off-vehicle to enhance simulation and validation. The role involves building novel machine learning pipelines and models for behavior prediction and ego vehicle planning, collaborating with Planner, Simulation, and Validation teams.

Skills this posting asks for

  • machine learning
  • deep learning
  • reinforcement learning
  • behavior prediction
  • planning
  • simulation
  • python
  • pytorch
  • tensorflow

Requirements

  • Remote policy: onsite

From the employer’s posting

The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and Validation teams to develop…

Read the full description on zoox’s careers page

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