At a Glance
- Tasks: Join a top-tier team to create ultra-realistic simulations for autonomous vehicles using cutting-edge machine learning.
- Company: Waymo, a leader in autonomous driving technology with a mission to enhance mobility and safety.
- Benefits: Competitive salary, bonus opportunities, equity plans, and comprehensive benefits package.
- Other info: Collaborative environment with opportunities for career growth and diverse team dynamics.
- Why this job: Make a real impact on the future of transportation while working with innovative technologies.
- Qualifications: 4+ years in Deep Learning, coding skills, and experience in production-level ML solutions.
The predicted salary is between 123000 - 129000 £ 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 Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather. To increase the fidelity and steerability of the simulations, we employ large foundation models, trained on our massive datasets that allow us to quickly set up and rollout multiple scenarios to subject our driver to. We have set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products.
We are looking for research engineers to work on these exciting problems. In this hybrid role, you will report to an Engineering Manager.
You Will:
- Be part of a world class research engineering team to grow the state-of-the-art of ultra realistic AV simulations using foundation models
- Collaborate with teams in Waymo Oxford to use large models to improve sim 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
- Help hire outstanding research engineers from diverse backgrounds
- Be a part of a collaborative research engineering team that takes research ideas and productionizes them
We Prefer:
- 4+ years experience in applied Deep Learning
- 4+ years coding and design skills
- Experience solving complex production problems using state-of-the-art ML techniques
- Experience taking research to production
- Expertise in Data Analysis or Data Science
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: £123,000—£129,000 GBP
Senior Machine Learning Engineer / London (UK-LON-40BR) / Simulation (7XW) employer: Waymo
Waymo is an exceptional employer, offering a unique opportunity to work at the forefront of autonomous driving technology in London. With a strong emphasis on collaboration and innovation, employees benefit from a supportive work culture that fosters professional growth through cutting-edge projects and access to industry-leading resources. Additionally, Waymo provides competitive compensation, including participation in an annual bonus program and equity incentives, making it an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer / London (UK-LON-40BR) / Simulation (7XW)
✨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 machine learning expertise, make sure to showcase them. A portfolio or GitHub can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview like it’s the championship game! Brush up on your technical knowledge, but also be ready to discuss how you can contribute to the team’s goals at Waymo. They want to see your passion for autonomous driving tech!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Machine Learning Engineer / London (UK-LON-40BR) / Simulation (7XW)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Machine Learning Engineer. Highlight your experience with deep learning and any relevant projects that showcase your skills in building simulations or working with large models.
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 sure to mention specific experiences that relate to the job description.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—demonstrate them! Include examples of complex production problems you've solved using machine learning techniques. This will show us you can handle the challenges we face at Waymo.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
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 you've applied these techniques in real-world scenarios. Waymo is looking for someone who can demonstrate their expertise, so be prepared to dive deep into the technical details.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled complex production problems using state-of-the-art ML techniques. Be ready to explain your thought process and the impact of your solutions. This will show that you can not only think critically but also apply your knowledge effectively.
✨Collaborate and Communicate
Waymo values teamwork, so be prepared to discuss how you've collaborated with others in your previous roles. Share experiences where you worked with cross-functional teams or mentored others. Highlighting your ability to communicate complex ideas clearly will set you apart.
✨Prepare Questions
Have a few thoughtful questions ready about the role, the team, or Waymo's projects. This shows your genuine interest in the position and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers and make a lasting impression.
