Principal Engineer, Behavior Understanding and Evaluation

Proven experience in establishing and executing evaluation strategies. A strong foundation in scientific and statistical methodologies. Expertise in Machine Learning and Deep Learning. At least 3 years of experience leading and scaling large-scale data and evaluation systems. Proficiency in crafting data-driven reports and technical strategy documents for executive decision-making. Technical leadership experience, including hands-on involvement in the development of large-scale AI or VLM/LLM systems. Experience in mentoring and leadership development. A background in shaping product roadmaps. Familiarity with Reinforcement Learning (RL) with Human Feedback. Specialized expertise in creating expansive datasets. Experience with large-scale global consumer products.

Define the strategic direction for the development and application of machine learning-driven evaluation methodologies for autonomous driving. Optimize large-scale evaluation infrastructure to ensure scalability. Partner cross-functionally with Behaviors, Actions, Simulation, System Engineering, Research, and other Onboard/Offboard Software Teams on evaluation strategies. Upgrade evaluation pipelines by enhancing existing Heuristic and Event based processes with learned methods. Uphold scientific and statistical rigor in the application of embodied AI. Pioneer the definition and implementation of key evaluation metrics and reward functions, driving autonomy performance across safety, comfort, and assertiveness. Align stakeholders around clear evaluation objectives and priorities.