Senior Staff ML Engineer, (TLM) Driver Understanding and Evaluation
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El puesto
Own the end-to-end strategy for ML-based evaluation metrics, ensuring scientific and statistical rigor across embodied AI applications.
Architect scalable systems to train and fine-tune large-scale generative models that simulate and evaluate driving behaviors.
Lead the design and iteration of novel RL algorithms, reward functions, and training paradigms for high-fidelity driving data.
Develop cutting-edge DL and Generative AI (LLM/VLM) solutions to streamline triaging, automate high-volume workflows, and analyze autonomous driving behaviors for anomalies.
Adopt and adapt Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation practices.
Mentor engineers and align cross-functional teams—Driver Understanding, Simulation, System Engineering, Research, and Onboard Software—toward a cohesive evaluation strategy.
Architect scalable systems to train and fine-tune large-scale generative models that simulate and evaluate driving behaviors.
Lead the design and iteration of novel RL algorithms, reward functions, and training paradigms for high-fidelity driving data.
Develop cutting-edge DL and Generative AI (LLM/VLM) solutions to streamline triaging, automate high-volume workflows, and analyze autonomous driving behaviors for anomalies.
Adopt and adapt Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation practices.
Mentor engineers and align cross-functional teams—Driver Understanding, Simulation, System Engineering, Research, and Onboard Software—toward a cohesive evaluation strategy.
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