Waymo-posted 3 months ago
$60 - $60/Yr
Full-time • Intern
Mountain View, CA
1,001-5,000 employees

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

  • Analyze and extract complex data from large tables, exploring predictive features.
  • Develop tools for analyzing simulation data, partnering with engineering teams, and leveraging foundation models for workflow automation.
  • Adapt state-of-the-art ML models for synthetic scene rendering and sensor data generation, integrating generated data into the Waymo simulation platform, conducting experiments to evaluate quality, and developing new sampling methods.
  • Pursuing PhD in a quantitative field (e.g. Statistics, Computer Science, Mathematics, Physics, Engineering)
  • Proficiency in programming with SQL and Python (or R), including data manipulation, wrangling, and visualization.
  • Strong statistical theory foundation.
  • Familiarity with C/C++, with a focus on machine learning applications and complex data analysis.
  • Experienced in processing and interpreting various sensor data.
  • Demonstrated research capabilities through publications and a strong understanding of statistical methodologies and foundation models.
  • Eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
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