Waymo’s Weather and Degraded Roads Perception team develops features that help the autonomous driving system operate safely and comfortably in rain, fog, snow, ice, potholes, unpaved roads, trenches, and construction sites. The team collaborates with planning and control teams to define vehicle behavior in these conditions. Its work includes designing perception features, developing and retraining machine-learning models, and building hybrid onboard/offboard systems to coordinate fleetwide behavior. The team also works with Vision Language Models to support appropriate driving behavior in long-tail situations. The intern will research and implement machine-learning perception solutions for Waymo’s self-driving stack, develop applied research solutions for data-scarce challenges in weather perception, and collaborate across functions with the onboard software team. This is a hybrid onsite internship. The position is full-time and offers hourly pay of $70 for master’s students or $85 for PhD students. Interns may participate in company benefits programs, subject to eligibility requirements.
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Job Type
Full-time
Career Level
Intern