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Lead troubleshooting and integration of software and electrical automotive systems with OEMs, contributing to integration strategy and providing onsite support for early program activities.

Develop and enhance the data infrastructure for Waymo's ML models, focusing on data needs, storage efficiency, and integration across various use cases.

Develop GPU primitives, manage performance on new platforms, collaborate on SoC projects, and enhance CI/CD testing for GPUs.

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.

Manage the operations enablement for partners by building playbooks, improving processes and supporting cross-functional collaboration to ensure success.

Manage Waymo's social media and community support by providing rapid response, analyzing engagement trends, and collaborating with teams for product improvements.

The Market Operations Lead will oversee the operational performance of the Ride-hail services, ensuring quality, scalability, and reliability while leading cross-functional teams in the Bay Area.

In this role, you will lead the delivery of operational intelligence by providing risk insights and decision-making support while maintaining situational awareness during events and establishing structured protocols for response.

The Technical Training Manager will oversee training programs for vendors and partners, ensuring effective delivery and compliance with safety standards, while managing training qualifications and external partnerships.

As a Senior ML Engineer at Waymo, you will work on distilling large LLM/VLM models into smaller, real-time models, focusing on enhancing performance for critical semantics tasks. You will explore distillation techniques to optimize quality transfer from larger models and customize datasets accordingly.