Senior/Staff Machine Learning Engineer, Planning
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The role
Develop and deploy cutting-edge ML-based planning models using maps and perception outputs for autonomous driving stacks.
Design and implement safety checks to ensure feasible trajectories that comply with traffic rules.
Maintain real-time performance within compute-constrained environments and optimize inference and training pipelines.
Stay at the forefront of multidisciplinary research, integrating state-of-the-art methods into production pipelines.
Ensure all work adheres to Quality Management System (QMS), customer requirements, and regulatory standards.
Collaborate with cross-functional teams to drive robust, testable solutions with well-designed experiments and evaluation metrics.
Design and implement safety checks to ensure feasible trajectories that comply with traffic rules.
Maintain real-time performance within compute-constrained environments and optimize inference and training pipelines.
Stay at the forefront of multidisciplinary research, integrating state-of-the-art methods into production pipelines.
Ensure all work adheres to Quality Management System (QMS), customer requirements, and regulatory standards.
Collaborate with cross-functional teams to drive robust, testable solutions with well-designed experiments and evaluation metrics.
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Remote workno
CitySan Francisco Bay Area, United States