Senior Machine Learning Engineer, Planner Reasoning
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The role
Design, develop, and deploy ML solutions for autonomous driving planning, including modeling, reward shaping, fine-tuning, reinforcement learning, and data shaping.
Analyze model performance with data-driven techniques to compare approaches and drive improvements.
Prototype and quickly deploy state-of-the-art solutions, staying current with latest ML advances and tools.
Collaborate closely with perception, research, simulation, and evaluation teams to integrate ML components into end-to-end systems.
Leverage Python and DL frameworks to handle large-scale models while contributing to scalable evaluation workflows and metrics.
Hybrid role with a mix of hands-on ML work and cross-functional collaboration in a fast-paced environment.
Analyze model performance with data-driven techniques to compare approaches and drive improvements.
Prototype and quickly deploy state-of-the-art solutions, staying current with latest ML advances and tools.
Collaborate closely with perception, research, simulation, and evaluation teams to integrate ML components into end-to-end systems.
Leverage Python and DL frameworks to handle large-scale models while contributing to scalable evaluation workflows and metrics.
Hybrid role with a mix of hands-on ML work and cross-functional collaboration in a fast-paced environment.
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