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forecasting ai reinforcement learning imitation learning end-to-endπ Description
- Oversee ML-based Prediction and Motion Planning teams; set a unified roadmap.
- Define roadmap for end-to-end learnt planning; explore IL and RL.
- Lead and scale multiple ML sub-teams; promote sustainable practices.
- Publish research in CVPR/ICCV/ECCV/NeurIPS.
- Collaborate with Perception, Infra, and Systems to integrate into the vehicle.
π― Requirements
- 5+ years leading eng teams; 3+ years in autonomous/AI leadership.
- Sustainable scaling: balance debt, scalability, and team wellbeing.
- ML behavior: IL and RL for decision-making; end-to-end lifecycle.
- Unified architectures: integrate trajectory forecasting with ego-policy.
- VLAs and multimodal AI models.
- MS or PhD in CS/Robotics/EE with ML focus.
π Benefits
- Hybrid/in-office in Boston or Pittsburgh; or fully remote.
- Benefits include medical, dental, vision, 401k with match.
- Diverse, inclusive culture; team-first environment.
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