Machine Learning Engineer, Prediction

Senior Machine Learning Engineer, Prediction

Join to apply for the Senior Machine Learning Engineer, Prediction role at Waymo

Senior Machine Learning Engineer, Prediction

Join to apply for the Senior Machine Learning Engineer, Prediction role at Waymo

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo DriverThe World's Most Experienced Driverto improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo DriverThe World's Most Experienced Driverto improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Drivers behavior. Our mission is to transform Waymo's unpecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews.

You Will

• Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymos business.
• Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles.
• Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements.
• Develop and evaluate large models, and integrate them into Waymos production planning software for real-world applications through close partnership with the Planner and Research teams.
  
  

You Have

• BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
• Added Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact
• Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
• Proficient programming skills (eg: Python, C/C++)
• Strong analytical and debugging skills
• 5+ years of experience in Machine Learning modeling and/or Autonomous Vehicles
  
  

We Prefer

• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
• Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP.
• Prior software development or ML research industry experience (including internships).
• General software engineering experience solving motion planning or related robotics problems.
• Experience applying or evaluating ML-based systems in production environments.
• Experience with performance optimization of deep models, including with respect to specific hardware architectures
  
  

Our benefits are held Alphabet-Wide, inclusive of incredible maternity leave, health care, and retirement planning.

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 Waymos discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$204,000$259,000 USD

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

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