ML Engineer, Behavior Planning

What you'll do

• Design onboard planning models trained with imitation and reinforcement learning.
• Develop offboard critic models to evaluate driving behavior and foundation models that create realistic simulation world models.
• Advance autonomous-driving methods and deploy models on production vehicles.

What they ask for

• Degree in Robotics, Machine Learning, Computer Science, or a related quantitative field, or equivalent practical experience.
• 2+ years developing state-of-the-art ML models in research or production.
• Hands-on experience with Imitation Learning or Reinforcement Learning for physical or simulated agents, and training large models on massive datasets using distributed computing.
• Fluency in Python; deep experience with PyTorch or another modern ML framework; mastery of Transformers and Diffusion Models.

Nice to have

• Publications at top-tier ML conferences, production deployment experience, or experience developing generative models or neural simulators.
• Fluency in C++.

Pay

$139,000 - $223,000 per Year (base salary)

Tools

Python, PyTorch, Transformers, Diffusion Models, C++

AI focus

Develop ML planning models using imitation and reinforcement learning, offboard critic models, and foundation models for simulation world models; deploy models in autonomous vehicles.