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- Tasks: Lead a top-notch team to enhance ultra-realistic AV simulations and collaborate with leading ML experts.
- Company: Waymo, a pioneering autonomous driving technology company on a mission to improve mobility.
- Benefits: Competitive salary, bonus program, equity incentives, and generous benefits.
- Why this job: Join a groundbreaking team and shape the future of autonomous vehicles while saving lives.
- Qualifications: Experience in managing research teams, deep learning expertise, and strong coding skills.
- Other info: Remote work options available; excellent career growth in a dynamic environment.
The predicted salary is between 180000 - 194000 £ 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.
You will:
- Help to build and lead a world class research engineering team to advance the state of the art of ultra realistic AV simulations using foundation models
- Collaborate with Waymo Machine Learning teams in London and Oxford and the Google DeepMind team in London to use large models to improve simulation realism
- Design experiments that push the frontiers of AV simulations
- Develop metrics that measure the realism of simulated worlds
- Train and evaluate large models and integrate them into the simulator and its downstream applications
You have:
- Experience in building and managing research engineering teams, including hiring, mentoring and line management
- Strong background and experience in applied Deep Learning
- Strong coding and design skills
- Experience in solving complex production problems using state of the art ML techniques
- Experience in talking research to production
We prefer:
- Experience in autonomous vehicles
- Research experience
Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.
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 £180,000—£194,000 GBP
Senior Staff Machine Learning Engineer, Simulation in London employer: Waymo
Contact Detail:
Waymo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff Machine Learning Engineer, Simulation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Waymo or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got projects or research that highlight your experience in deep learning or autonomous vehicles, make sure to showcase them. A portfolio can speak volumes!
✨Tip Number 3
Prepare for the interview by diving deep into Waymo's tech and mission. Understanding their approach to AV simulations will help you stand out and show you're genuinely interested in what they do.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Staff Machine Learning Engineer, Simulation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Staff Machine Learning Engineer. Highlight your experience in building and managing research engineering teams, as well as your strong background in applied Deep Learning. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about autonomous vehicles and how your experience can contribute to our mission at Waymo. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any projects related to machine learning or autonomous vehicles, make sure to showcase them in your application. We love seeing real-world applications of your skills, so don't hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can't wait to see what you bring to the table!
How to prepare for a job interview at Waymo
✨Know Your Stuff
Make sure you brush up on your deep learning and machine learning concepts. Be ready to discuss your past projects and how they relate to the role at Waymo. They’ll want to see that you can translate research into practical applications, so have examples ready!
✨Show Your Leadership Skills
Since this role involves building and managing a research engineering team, be prepared to talk about your experience in hiring, mentoring, and leading teams. Share specific instances where you’ve successfully guided a team through challenges or achieved significant milestones.
✨Get Familiar with AV Simulations
Dive into the world of autonomous vehicle simulations. Understand the metrics used to measure realism and be ready to discuss how you would design experiments to push the boundaries of AV simulations. This shows you’re not just a techie but also a visionary!
✨Ask Insightful Questions
Prepare thoughtful questions about Waymo’s current projects and future directions. This demonstrates your genuine interest in the company and the role. It’s also a great way to show that you’re thinking critically about how you can contribute to their mission.
