Manager, Onboard Behavior Encoder
Lead and grow a team developing large-scale Reinforcement Learning and ML models for onboard autonomous vehicle behavior and driving plans. Requires MS/PhD, 5+ years production ML experience (3+ in leadership), and expertise in RL/ML for planning, LLMs, or related areas.
About the job
Lead a Team
- Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement.
Develop Strategy
- Develop and organize overall strategy for Onboard Behavior ML Models for generating driving plans for autonomous vehicles.
- Interface with multiple partner teams (Onboard Perception, Cost Planner, Simulation, Validation, Data Science, Systems Engineering, QA, and ML Infra) to identify opportunities for model improvements.
- Set short and long term technical direction for the team and collaborate on broader company-wide directions.
Technical Guidance
- Provide technical guidance and leadership in the design and development of training models at large scale.
- Work with partner teams on ensuring efficient inference.
Monitor Performance
- Establish and monitor key performance indicators (KPIs) to measure the effectiveness of work packages and drive continuous improvement.
Manage Resources
- Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed.
Qualifications
- Expertise with Reinforcement Learning and Machine Learning for at least one of these areas: Planning, LLMs, VLAs/VLMs, recommendation systems.
- Extensive experience with programming and algorithm design, strong mathematics skills.
- MS or PhD degree in computer science or related field.
- 5+ years of experience with production Machine Learning pipelines, with at least 3 years in a leadership or management role.
Bonus Qualifications
- Conference or Journal publications in Machine Learning or Robotics related venues.
- Prior experience working with autonomous vehicles or robotics, diffusion models, large scale training.
Skills
Reinforcement Learning, Machine Learning, Planning, LLMs, Vlas, Vlms, Recommendation Systems, Python, Algorithm Design, Mathematics, Production Ml Pipelines, Large Scale Training
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