Machine Learning Engineer
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El puesto
Build scalable systems for training and fine-tuning large-scale generative models to produce realistic driving behaviors and evaluate performance.
Lead the implementation and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity driving behaviors.
Develop cutting-edge deep learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, automate high-volume workflows, and perform nuanced analysis of driving behavior to detect critical anomalies.
Oversee production and optimization of ML models aiming to assess a vast fleet of vehicles, enabling robust evaluation across millions of miles.
Proactively monitor and assimilate best practices to develop RLHF-based data collection and evaluation systems.
Collaborate closely with multiple teams, other technical leads, and senior leadership to deliver on key strategic ML efforts.
Lead the implementation and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity driving behaviors.
Develop cutting-edge deep learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, automate high-volume workflows, and perform nuanced analysis of driving behavior to detect critical anomalies.
Oversee production and optimization of ML models aiming to assess a vast fleet of vehicles, enabling robust evaluation across millions of miles.
Proactively monitor and assimilate best practices to develop RLHF-based data collection and evaluation systems.
Collaborate closely with multiple teams, other technical leads, and senior leadership to deliver on key strategic ML efforts.
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TeletrabajoNo remote
CiudadLondon, Reino Unido