Senior AI Engineer (Closed-loop Simulation & RL)
Pangyo (Software Dream Center), South Korea
KRW 30000K-30000K (estimate) Senior-level Full Time
Tasks
- Build log replay scenario based simulation regression test pipeline
- Define autonomy quality metrics and evaluation system for safety comfort progress and rule compliance
- Design and develop closed loop evaluation framework
- Design and run simulation rollout reward function evaluation metric and failure analysis
- Develop model improvement loop using counterfactual simulation synthetic scenario and real world driving logs
- Improve driving policy using reinforcement learning reward modeling and policy distillation
- Integrate closed loop learning and evaluation systems with VLM VLA Data and ML platform teams
Perks/Benefits
- N/A
Skills/Tech-stack
3DGS | Agent simulation | Autonomous Driving | CARLA | Counterfactual Simulation | Data Engineering | Decision Making | Distributed Systems | Imitation Learning | Log replay | ML Experimentation | Machine Learning | Model-based reinforcement learning | Multi-Agent | Multi-agent simulation | Nerf | Neural Rendering | NuPlan | Offline RL | Offline Reinforcement Learning | Policy Distillation | Preference Modeling | PyTorch | Python | Regression testing | Reinforcement Learning | Reward Modeling | Safe Reinforcement Learning | Scenario testing | Sequential decision making | Simulation | Trajectory Planning | Waymo Waymax
Education
N/A
Roles
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