Senior Machine Learning Engineer - Learned Planning/reinforcement Learning

Torc Robotics

Ann Arbor, MI, US
Remote
Reinforcement learning
Imitation learning
Behavior cloning
Develop and deploy machine learning models that drive decision-making for autonomous trucks, focusing on learned behavior systems for safe and efficient driving

Job Summary

  • Develop and deploy machine learning models that drive decision-making for autonomous trucks, focusing on learned behavior systems for safe and efficient driving.
  • Own end-to-end model development from data ingestion and training to evaluation and deployment, writing production-quality ML code for scalable workflows.
  • Torc offers a competitive compensation package including bonus and stock options, with a collaborative, energetic, and team-focused culture.

Matching Summary

Develop and deploy machine learning models that drive decision-making for autonomous trucks, focusing on learned behavior systems for safe and efficient driving.

Skills & Requirements

Must-have

  • Reinforcement learning
  • Imitation learning
  • Behavior cloning
  • Production-quality ML code
  • Python and PyTorch
  • Scalable training workflows

Nice-to-have

  • Autonomous driving experience
  • Robotics simulation environments
  • Multi-agent decision-making systems
  • Long-horizon decision-making systems

Key Requirements

  • 6+ years industry experience with BS
  • 3+ years industry experience with MS
  • 1+ years industry experience with PhD
  • Experience with robotics or autonomous systems

Work Rights

Not specified

Tailored Resume

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