Machine Learning Engineer / Applied Scientist, Prediction & PlanningPosted today$215K

The opportunity

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…

What you'll do

  • Design, implement, and evaluate state-of-the-art generative models for: autonomous vehicle planning and prediction

  • Develop next-generation, ML-powered systems that enhance the capabilities of: the ML driver and accelerate the rapid scaling of Waymo’s business

  • Translate open-ended, real-world driving challenges into well-defined machine: learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning

  • Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production

  • Partner with world-class researchers, engineers, and product managers to: deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues

  • PhD in Computer Science, Machine Learning, Robotics, a related technical: field, or equivalent practical experience

What they're looking for

  • A proven track record of publications in top-tier conferences (e.g., NeurIPS,: ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP)
  • Demonstrated impact on the broader ML community through influential research,: widely adopted open-source projects, or significant industry contributions
  • Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch
  • Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities