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The Senior Engineer for Autonomy ML Systems will design and evaluate metrics for machine learning model performance and system behavior to improve safety and performance in driverless technology.

Lead development of perception solutions for autonomous vehicles, collaborating across teams to optimize and validate performance while addressing complex technical challenges.

Lead development of perception capabilities for autonomous vehicles, analyze performance of perception subsystems, and collaborate on innovative solutions in computer vision and deep learning.

Lead the development of perception capabilities for self-driving vehicles, focusing on computer vision and deep learning to enhance product impact and safety evaluation.

The Senior Engineer, Autonomy ML Systems will evaluate machine learning systems for autonomous vehicles, define metrics for performance evaluation, and collaborate with teams to improve model efficacy for safe deployment of robotaxis.

The Senior Engineer will evaluate machine learning subsystems for reliability, developing metrics for model performance in autonomous vehicles, and collaborating across teams to enhance system readiness and safety for deployment.

The Talent Acquisition Sourcer identifies and attracts technical talent for Motional's Autonomy Department, focusing on building relationships and providing a top-tier candidate experience.

The Senior Engineer will evaluate ML subsystems for autonomous vehicles, setting performance metrics and ensuring safety through data analysis and coordination with teams.

The Staff Motion Planning Engineer will research and develop algorithms for motion planning in autonomous vehicles, building scalable software and interfacing with various components of the system.

The Staff Motion Planning Engineer will lead the research and development of algorithms for motion planning in autonomous vehicles, ensuring robust software integration and mentoring team members.