At a Glance
- Tasks: Lead research on road user behaviour and develop innovative safety models for autonomous driving.
- Company: Waymo, a pioneering autonomous driving technology company focused on safety and innovation.
- Benefits: Competitive salary, bonus program, equity incentives, and generous benefits.
- Other info: Hybrid role with opportunities for travel and collaboration with top academic partners.
- Why this job: Join a mission-driven team making roads safer with cutting-edge technology.
- Qualifications: PhD in computational modelling or cognitive science, with 5+ years of relevant experience.
The predicted salary is between 113000 - 119000 € per year.
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 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 hybrid role, you will report to the Senior Staff Safety Researcher, Human Behavior.
You will:
- Be a technical leader in the area of computational road user behavior modeling
- Research and develop metrics and computational models of road user cognition and behavior for use in Waymo's safety evaluation methodologies
- Work closely with other Waymo teams, in particular the Simulation and AI Foundations teams, to productionize behavioral metrics/models in Waymo’s simulation infrastructure
- Explore and innovate novel modeling concepts and ideas in research projects with external academic partners
- Publish your work in scientific journals and conferences
You have:
- A doctoral degree in a field that involves a combination of computational/mathematical modeling and cognitive science/behavioral science
- At least 5 years of experience, and a strong publication record, in computational modeling of human and/or animal cognition and behavior
- Strong coding and mathematical skills
- Strong collaboration and communication skills
We prefer:
- Experience in active inference-based modeling
- Experience in modern AI-based modeling (world models, learning paradigms etc.)
- Experience in traffic safety research
Travel is required for this role and can be up to 10%. Travel would consist of attending global academic conferences and traveling to Waymo's headquarters.
The expected base salary range for this full-time position 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. 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: £113,000 - £119,000 GBP
Safety Researcher, Computational Behavior Modeling in London employer: Waymo
Waymo is an exceptional employer, offering a unique opportunity to work at the forefront of autonomous driving technology in a collaborative and innovative environment. With a strong focus on employee growth, Waymo provides access to cutting-edge research projects, opportunities for publishing in scientific journals, and participation in global academic conferences. The company also boasts a comprehensive benefits program, including a discretionary annual bonus and equity incentives, making it an attractive place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Safety Researcher, Computational Behavior Modeling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Waymo. LinkedIn is your best mate here—send personalised messages and ask for informational chats. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your computational models and research. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into Waymo’s projects and safety strategies. Be ready to discuss how your experience aligns with their mission. Tailor your responses to highlight your coding and collaboration skills—make it clear you’re a team player!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on upcoming job fairs or events where Waymo might be present—great opportunities to make a lasting impression!
We think you need these skills to ace Safety Researcher, Computational Behavior Modeling in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Safety Researcher. Highlight your experience in computational modelling and any relevant projects that showcase your skills in cognitive and behavioural science.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about autonomous driving technology and how your background aligns with Waymo's mission. Be genuine and let your personality come through.
Showcase Your Publications:Since a strong publication record is key for this role, make sure to list your relevant publications clearly. If you’ve published in scientific journals or conferences, highlight those achievements to demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team at Waymo!
How to prepare for a job interview at Waymo
✨Know Your Stuff
Make sure you brush up on your computational and behavioural modelling knowledge. Be ready to discuss your past research and how it relates to the role at Waymo. They’ll want to see that you can connect your experience with their mission of improving safety in autonomous driving.
✨Show Your Collaboration Skills
Waymo values teamwork, so be prepared to share examples of how you've successfully collaborated with others in your previous roles. Highlight any cross-disciplinary projects you've worked on, especially those involving AI or simulation, as this will resonate well with their team dynamics.
✨Prepare for Technical Questions
Expect some technical questions related to coding and mathematical modelling. Brush up on relevant programming languages and be ready to solve problems on the spot. Practising coding challenges can help you feel more confident during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about Waymo’s safety strategies and future projects. This shows your genuine interest in the company and the role, and it gives you a chance to assess if Waymo is the right fit for you too.
