BS in Computer Science, Machine Learning, Robotics, or related field, or equivalent experience
Demonstrated contributions to the ML community through publications or significant industry impact
Hands-on experience with modern deep learning libraries (TensorFlow, JAX, PyTorch)
Proficient in programming languages (Python, C/C++)
Strong analytical and debugging skills
5+ years of experience in Machine Learning modeling and/or Autonomous Vehicles
Responsibilities
Develop the next-generation ML-powered prediction and planning system
Frame open-ended, real-world challenges as defined ML problems
Research and apply cutting-edge ML techniques for planning and prediction tasks
Collaborate with researchers, engineers, and product owners
Develop and evaluate large models and integrate them into production software
Benefits
Incredible maternity leave
Comprehensive health care coverage
Retirement planning options
Eligibility for discretionary annual bonus program
Access to equity incentive plan and generous company benefits program
Full Job Description
You will:
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
You have:
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
We prefer:
Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models
Prior industry experience (e.g. internships) in applied ML research or software development
Domain expertise in solving motion planning, prediction, or related robotics problems
Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments
#LI-Hybrid
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$175,000-$215,000 USD
About Waymo
Waymo LLC is a self-driving technology development company. It is a subsidiary of Alphabet Inc., the parent company of Google. Waymo develops autonomous driving technology and provides ride-hailing services through its Waymo One program. The company has been testing its self-driving technology on public roads since 2009 and has logged millions of miles of autonomous driving. Waymo has partnerships with several automakers and has been working on developing autonomous trucks for use in logistics.
