Senior Machine Learning Engineer - ML Agents and Planning
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The role
Design and implement deep learning models that combine imitation learning and reinforcement learning to generate driving plans for human-like agents.
Develop techniques to assess driving plan quality across safety, progress, comfort, and realism.
Contribute to scalable ML infrastructure to enable rapid discovery and iteration of new approaches in autonomous driving.
Create metrics and tooling to analyze errors and quantify improvements in system performance.
Collaborate with Perception, Planning, Simulation, and Validation teams to tackle the full autonomous driving stack.
Prototype and deploy transformer-based architectures and production ML pipelines using Python (and C++ where needed).
Develop techniques to assess driving plan quality across safety, progress, comfort, and realism.
Contribute to scalable ML infrastructure to enable rapid discovery and iteration of new approaches in autonomous driving.
Create metrics and tooling to analyze errors and quantify improvements in system performance.
Collaborate with Perception, Planning, Simulation, and Validation teams to tackle the full autonomous driving stack.
Prototype and deploy transformer-based architectures and production ML pipelines using Python (and C++ where needed).
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