Senior ML Research Scientist, End-to-End Autonomous Driving
Core
Developing large-scale end-to-end machine learning models for perception and behavior in autonomous vehicles using raw sensor data.
Role type
Senior ML Research Scientist (End-to-End Autonomous Driving)
Builds
End-to-end ML models for AV perception and behavior
Domain
Autonomous Driving / Robotics
Deliverable
production ML models
Required skills
Machine Learning, End-to-End Autonomous Driving Models, Imitation Learning, Reinforcement Learning, World Models, Python, C++, Problem-solving, Programming, Research publications
Preferred skills
C++, Independent research, Cross-organization collaboration
Technologies
Python, C++, Camera, LiDAR, Radar
Responsibilities
Advance state-of-the-art end-to-end ML models for AV from raw sensor data to behavior generation; Experiment with state-of-the-art architectures using massive real-world datasets; Research and apply novel solutions for long-tail event handling and safe reasoning; Collaborate with autonomy teams to design roadmaps for holistic learned solutions; Build effective data, training, evaluation, and validation pipelines; Develop practical solutions and deploy them to the NuroDriver on-road.