Machine Learning Engineer II - Learned Planning (Reinforcement Learning)
Autonomous trucking · 18 postings open
- Location: Remote (US) · Remote - US, Ann Arbor, MI
- Pay: $153.2k–$183.8k
- Experience: 4+ yrs
- Posted: Posted
About the role
The team develops and deploys behavior models that guide autonomous trucks. The machine learning engineer builds, validates, and improves these models, focusing on reinforcement learning and related techniques. This involves implementing production-quality code, analyzing performance, and contributing to data pipelines and infrastructure.
Our summary of the posting; the original is on the Torc Robotics careers page.
What the posting requires
- Required
- Python
- ML architectures
- PyTorch
- Autonomy systems
- Transformers
- Graph neural networks
- Sequence models
- Bachelor
- Master
- Preferred
- Distributed training
- Ray
- Autonomous driving
- Vehicle dynamics
- Motion planning
- Simulation
These tags are our reading of the posting. They can miss something; the original posting is the reference.
Do you qualify?
Each requirement checked against your resume, in about a minute. No account. Your resume is deleted when the verdict appears.