Senior Machine Learning Engineer, Planner Reasoning
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The role
Design, develop, and implement ML solutions for autonomous vehicle planning, including modeling, reward shaping, fine-tuning, reinforcement learning, and data shaping.
Analyze model performance with data-driven techniques to compare approaches and guide decisions.
Prototype, test, and deploy novel SOTA solutions while staying current with autonomous driving and ML advances.
Collaborate with perception, research, simulation, and evaluation teams to integrate ML models into complex systems.
Handle large-scale models and datasets and contribute to scalable evaluation workflows and metrics.
Drive data-driven reasoning improvements and support auto-labeling and data introspection for better training data.
Analyze model performance with data-driven techniques to compare approaches and guide decisions.
Prototype, test, and deploy novel SOTA solutions while staying current with autonomous driving and ML advances.
Collaborate with perception, research, simulation, and evaluation teams to integrate ML models into complex systems.
Handle large-scale models and datasets and contribute to scalable evaluation workflows and metrics.
Drive data-driven reasoning improvements and support auto-labeling and data introspection for better training data.
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