Senior AI Engineer (Closed-loop Simulation & RL)
Tasks
- Build log replay scenario based simulation pipeline
- Define driving quality metrics and model evaluation system
- Design closed loop evaluation framework
- Design reward function and evaluation metrics and failure analysis pipeline
- Develop counterfactual simulation synthetic scenario and real log model improvement loop
- Develop offline reinforcement learning reward modeling and policy distillation improvement loop
- Integrate closed loop learning and evaluation systems with VLM VLA Data and ML platform teams
Perks/Benefits
- N/A
Skills/Tech-stack
Closed Loop | Closed Loop Evaluation | Counterfactual Simulation | Data Generation | Decision Making | Distributed Training | Failure analysis | Imitation Learning | Log replay | Machine Learning | Model Evaluation | Offline Reinforcement Learning | Policy Distillation | PyTorch | Python | Reinforcement Learning | Reward Modeling | Scenario generation | Scenario testing | Sequential decision making | Simulation | Synthetic Data Generation | Synthetic data | Trajectory Planning
Education
N/A
Roles
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