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- Tasks: Lead a top-notch team to enhance ultra-realistic AV simulations using advanced models.
- Company: Waymo, a pioneer in autonomous driving technology with a mission to save lives.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Join a groundbreaking team and shape the future of autonomous vehicles.
- Qualifications: Experience in managing research teams and strong skills in applied Deep Learning.
- Other info: Remote positions available; discuss your location preferences during the interview.
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 taking 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.
Salary Range £180,000—£194,000 GBP
Senior Staff Machine Learning Engineer, Simulation employer: Waymo
Contact Detail:
Waymo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff Machine Learning Engineer, Simulation
✨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! Prepare a portfolio or a project that highlights your experience in deep learning and simulations. When you get the chance to chat with recruiters or during interviews, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding and design skills. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Waymo. Don’t miss out!
We think you need these skills to ace Senior Staff Machine Learning Engineer, Simulation
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 personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a complex production problem you solved or a research project that pushed the boundaries of ML techniques, we want to know about it. This is your opportunity to demonstrate your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both you and us!
How to prepare for a job interview at Waymo
✨Know Your Stuff
Make sure you brush up on your deep learning and machine learning techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in relation to autonomous vehicles. The more specific examples you can provide, the better!
✨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 stories that highlight your leadership style and how you've successfully guided teams through complex projects.
✨Understand the Company’s Mission
Familiarise yourself with Waymo's mission and recent advancements in autonomous driving technology. Being able to articulate how your skills align with their goals will show that you're genuinely interested in the company and its vision.
✨Prepare for Technical Questions
Expect to face technical questions that assess your coding and design skills. Practice coding challenges and be ready to explain your thought process. This is your chance to demonstrate your problem-solving abilities and how you approach complex production issues.