Waymo-posted 3 months ago
$60 - $60/Yr
Full-time • Intern
Mountain View, CA
1,001-5,000 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

  • Research, implement, and evaluate self-supervised pretraining methods for large foundational 3D perception models
  • Collaborate with research and engineering teams to improve Waymo's foundational models
  • Conduct cutting-edge research and potentially communicate research findings to the wider academic community via technical reports and/or publications
  • Currently pursuing a Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical discipline
  • Strong publication record in top-tier AI/ML or VL conferences and demonstrated expertise in AI Architecture, Deep Learning, High Performance Computing, Compilers, and/or Computer Architecture
  • Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and ML coding, proficiency in Python and/or C/C++
  • Demonstrated expertise in research domains such as Deep Learning, Self-Supervised Learning
  • Experience with large-scale model pre-training, including foundational models, ML modeling and system design and experience in 3D Vision etc
  • Proficiency in ML frameworks like Jax, XLA, and/or TPU, and contributions to relevant open-source projects
  • Help solve challenging problems with a direct impact on the company
  • Competitive compensation packages with a housing/relocation bonus (if applicable)
  • Medical, dental, and vision insurance
  • Fun intern events and networking opportunities
  • Free breakfast, lunch, dinner, and snacks
  • Free access to Google shuttles
  • Onsite gym
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