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The Senior Machine Learning Engineer will lead product requests from problem definition to integration in the onboard driving system, focusing on audio perceptions for autonomous vehicles.

Lead the development of diagnostics infrastructure for self-driving systems, collaborating with experts and analyzing sub-system diagnostics gaps for improvement.

Lead a team to develop LLM/VLM solutions for autonomous driving, define improvement strategies, and collaborate across teams.

The role involves managing and improving the Waymo simulator, enhancing usability, defining product strategies, and collaborating with engineering teams and users.

Interns will debug ML model performance, add new features, and modify data pipelines and model architecture. Experience with deep learning and Python is required.

The role involves improving backend web services for driving simulations, tools for data center management, and simulation efficiency.

Manage the roadmap and strategies for territory expansion at Waymo, focusing on improving tools and processes for autonomous driving solutions. Collaborate across teams to enhance product offerings and drive growth.

Lead the development of ML evaluation methodologies, design tools, and collaborate across teams to ensure safety and performance of autonomous driving models.

This role focuses on optimizing neural model architectures and systems for high performance across multiple GPU/TPU platforms, collaborating with various teams to enhance model efficiency and performance under real-time constraints.

The Senior Security Engineer evaluates system elements for cybersecurity, conducts threat analysis, and collaborates on risk management throughout the product lifecycle.