About the Work
- Work on and advance state-of-the-art end-to-end ML models for AV, from raw sensor data (camera, LiDAR, radar) to generating behaviors.
- Experiment quickly with massive real-world driving datasets and large-scale compute.
- Research novel solutions for AV challenges like long-tail events, safe reasoning, and comfort.
- Collaborate with autonomy teams to design roadmaps for learned solutions.
- Build data, training, evaluation, and validation pipelines with infrastructure teams.
- Develop and deploy performant solutions to the NuroDriver on-road.
About You
- M.S. or Ph.D. (preferred) in Computer Science, AI, Robotics or related field, plus 3+ years experience.
- Expertise in Machine Learning (required), End-to-End AV Models, Imitation Learning, Reinforcement Learning, or World Models.
- Strong Python (required) and C++ (preferred) programming skills.
- Independent researcher with publications at CVPR, NeurIPS, ICML, etc.
Compensation: $183,825 - $275,975/year base pay, plus annual bonus, equity, and benefits.