← All roles

Machine Learning Engineer / Applied Scientist, Prediction & Planning

Waymo· Software Engineering
Apply on company site
Mountain View, CA / San Francisco, CA$175k - $215kFull-timePosted 2mo ago

About the role

Machine Learning Engineer / Applied Scientist within the Prediction & Planning (PrePlan) team at Waymo, focusing on generative models, ML-powered planning and prediction for the Waymo Driver, with production-grade delivery and collaboration with researchers, engineers, and product managers.

Responsibilities

  • 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

Qualifications

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

Skills

Required:PhD or equivalent experiencePublications in top-tier ML/AI venuesDeep learning frameworksProgramming

Benefits

  • Waymo employees are eligible to participate in discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements
  • Health and wellness benefits
  • Financial wellness benefits
  • Flexibility and time off including remote, hybrid, and on-site options
  • Supporting families with enhanced leave options
  • Community and personal development opportunities
  • Cool perks including access to Google offices, cafes, wellness centers, and at-home wellness offerings
Last updated Oct 22, 2026. Interested? Apply on the company site.
Waymo logo

About Waymo

The World’s Most Experienced Driver

Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles.

Autonomous DrivingAutonomous VehiclesMobilityRide-Hailliquid-ai-recruiting-target
Company profileWebsite

More open roles at Waymo