Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the World’s Most Experienced Driver in hopes of improving the world's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
The Waymo Safety team works to promote and help to continuously improve the safety of Waymo’s fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.
In this Computational Road User Behavior Modeler/Analyst role, you'll:
- Perform research and development on computational models and metrics of road user behavior for application in road safety analysis, for example:
- Representing the behavior of other road users in counterfactual (“what-if”) simulation for evaluating collision risk
- Establishing human performance benchmarks and safety evaluation metrics for the Waymo driver
- Evaluating the interaction between the Waymo driver and other road users
- Representing the performance of Autonomous Specialists in monitoring the Waymo driver in controllability analysis
- Analyze human behavior in Waymo-internal and third party driving data (in particular naturalistic driving data)
- Implement human behavior models and metrics in code
- Work with the Waymo engineering teams to implement human behavior models and metrics for use in production (e.g., in simulated agents)
At a minimum we’d like you to have:
- Extensive experience in the quantitative modeling/analysis of human behavior documented in peer-reviewed publications
- Knowledge of contemporary mathematical frameworks for modeling human behavior and cognition (control theory, Bayesian inference, predictive coding, evidence accumulation, dynamical systems etc.)
- Strong computational skills, including mathematical modeling and programming in a high-level language (preferably Python)
- A passion for understanding human behavior and cognition and use this knowledge for developing real-world engineering applications
- Strong written and oral communication skills
It’s preferred if you have:
- An PhD degree in cognitive science, neuroscience, complex systems, engineering physics, computer science or similar
- Strong knowledge of key concepts and theoretical frameworks in traffic safety and road user behavior research
- Knowledge and experience in modern AI and machine learning
- Knowledge and experience in autonomous vehicle research
We appreciate your interest in Waymo. Waymo is an equal employment opportunity employer. Waymo’s policy is not to discriminate against any applicant or employee based on race, color, sex, religion, national origin, age, disability, military status, genetic information or any other characteristic protected by law. Waymo also prohibits harassment of applicants or employees based on any of these protected categories. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.