Job Description
📋 Description Work on end-to-end ML models for AVs, from raw sensor data to behaviors. Experiment quickly using real-world driving data and large-scale compute. Research and apply novel solutions for safe, verifiable AV reasoning and comfort. Collaborate with autonomy teams to design roadmaps for learned solutions. Build data, training, evaluation, and validation pipelines with infra teams. Develop practical solutions and deploy to the NuroDriver on-road. 🎯 Requirements M.S. or Ph.D. (preferred) with 3+ years in CS/AI/Robotics or related field. Expertise in Machine Learning, End-to-End Autonomous Driving Models, Imitation Learning, RL, or Strong Python (required) and C++ (preferred); strong coding practices. Independent researcher, capable of cross-team collaboration and timely delivery. Publications in major conferences (CVPR, NeurIPS, ICML, etc.). Team fit for fast-paced research and development. 🎁 Benefits Compensation package includes annual bonus, equity, and competitive benefits.