Lead technical development of ML algorithms for next-generation ML Planner. Drive innovations in imitation learning, reinforcement learning, and model scaling while mentoring ML developers.
324k – 492k/yr
Hybrid10+ YOEML Engineering
About the role
Responsibilities
Set the technical direction of ML development for the future of our Planner
Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner
Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks
Develop new methods to leverage Zoox’s Foundation Models into the ML Planner
Provide technical mentorship to the broader group of ML developers at Zoox
Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments
Requirements
BS, MS, or PhD degree in computer science or related field
Proven track record of technical leadership in large-scale AI organizations
Significant experience with training and deploying Deep Learning models to production
Fluency in C++ or fluency in Python with a basic understanding of C++
Extensive experience with programming and algorithm design
Strong mathematics skills
10+ years of experience
Nice-to-Haves
Conference or Journal publications in Machine Learning or Robotics related venues
Prior experience with Prediction and Planning for autonomous vehicles
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