Research Scientist, Prediction & Planning

SupportFinity™; San Francisco (CA); Hybrid; USD 204,000 - 259,000; Full time

Benefits offered by this job

Alphabet-wide benefits

Job summary

Waymo is seeking a Research Scientist in Prediction & Planning on a hybrid basis to advance ML-driven prediction and planning for the Waymo Driver. You will work with a world-class team to translate complex driving data into robust models and behaviors.

The role requires 5+ years in ML or AVs, strong Python/C++ skills, and experience with TensorFlow, JAX, or PyTorch. Collaboration with researchers and product teams is essential.

Qualifications

• BS in Computer Science, ML, Robotics, or equivalent practical experience.
• Demonstrated contributions to the ML community via publications or open-source work.
• Hands-on experience with modern deep learning libraries (TensorFlow, JAX, PyTorch).
• Proficient programming skills (Python, C/C++).
• 5+ years of experience in ML modeling and/or autonomous vehicles.

Responsibilities

• Develop the next-generation ML-powered prediction and planning system for the ML driver.
• Frame real-world challenges as well-defined ML problems; research and apply cutting-edge ML techniques.
• Collaborate with researchers, engineers, and product owners to ensure safe, smooth planning behaviors.
• Develop and evaluate large models and integrate them into production planning software.

Skills

Python

C/C++

Analytical skills

Education

Bachelor's degree in Computer Science or equivalent

Tools

TensorFlow

JAX

PyTorch

Job description

Research Scientist, Prediction & Planning

Full-time

Unknown

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 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 Driver’s behavior. Our mission is to transform Waymo's unprecedented 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 Waymo’s 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 Waymo’s 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 Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$204,000—$259,000 USD

About the company

Waymo