Machine Learning Engineering TL for Behavior Planning at Aurora Innovation. This role involves defining the architecture of onboard planning models using Imitation Learning and Reinforcement Learning, building a next-generation simulation engine with foundation models, and developing critic models for evaluating driving behavior. The position requires bridging research and production by deploying models on real vehicles and mentoring junior engineers. Requires MS/PhD or equivalent experience, 8+ years in ML, hands-on IL/RL experience, distributed training, Python, and PyTorch/ML frameworks with Transformers/Diffusion Models.

Machine Learning Engineering TL for Behavior Planning at Aurora Innovation. This role involves defining the architecture of onboard planning models using Imitation Learning and Reinforcement Learning, building a next-generation simulation engine with foundation models, and developing critic models for evaluating driving behavior. The position requires bridging research and production by deploying models on real vehicles and mentoring junior engineers. Requires MS/PhD or equivalent experience, 8+ years in ML, hands-on IL/RL experience, distributed training, Python, and PyTorch/ML frameworks with Transformers/Diffusion Models.

Staff Product Program Manager for Aurora's Behavior Planning team, focusing on developing algorithms for safe and comfortable trajectories for autonomous vehicles. This role involves deep partnership with engineering leads, planning and prioritizing development, managing complex projects, and understanding technical implementations at an architectural level.

Staff Product Program Manager for Aurora's Behavior Planning team, focusing on developing algorithms for safe and comfortable trajectories for autonomous vehicles. This role involves deep partnership with engineering leads, planning and prioritizing development, managing complex projects, and understanding technical implementations at an architectural level.

Software Engineer for the Behavior Planning Team at Aurora Innovation, focusing on developing real-time algorithms for self-driving vehicle trajectories, integrating motion planning with machine learning for verifiable AI systems, and implementing production-grade software. Requires strong programming skills in Python/C++ and experience with motion planning algorithms.