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Lead and manage an Infrastructure team for developing reliable and scalable simulation services, influencing technical design and strategy.

As a Senior Data Scientist at Waymo, you will develop evaluation frameworks and metrics for autonomous vehicle performance, analyze unique aspects of AV data, and mentor other data scientists.

Lead technical efforts on sensor integration and perception systems, ensuring high performance and reliability in autonomous vehicle technology.

Manage the deployment of new Waymo platforms, collaborate with engineering teams, optimize processes for efficient launches, and ensure operational readiness.

Analyze fault logs for the Waymo Driver, define qualification strategies, prioritize improvements, and execute tests for automotive systems.

Improve distributed input data pipelines for large-scale ML training workloads, collaborating with researchers to enhance data processing systems and implement advanced ML infrastructure tools.

Design and improve data pipelines, maintain data flows, apply ML techniques for data curation, and collaborate across teams.

Lead the development and improvement of simulations for the Waymo Driver by collaborating closely with engineers, enhancing performance, and scaling architecture.

The role involves designing metrics for testing autonomous vehicles, analyzing simulation results, and leading cross-functional development for testing automation.

As a PhD intern, you will design ML models for perception tasks, evaluate performance using Waymo's driving data, and gain experience in a collaborative environment.