At a Glance
- Tasks: Advance ultra-realistic AV simulations using cutting-edge foundation models.
- Company: Waymo, a leader in autonomous vehicle technology.
- Benefits: Competitive salary, collaborative environment, and opportunities for innovation.
- Other info: Work closely with teams in Oxford and enjoy a dynamic research environment.
- Why this job: Join a pioneering team and shape the future of autonomous vehicles.
- Qualifications: 5+ years in Deep Learning, strong coding and data science skills required.
The predicted salary is between 155000 - 163000 € per year.
Waymo is seeking experienced Research Engineers in London to advance ultra-realistic autonomous vehicle (AV) simulations using foundation models. You will collaborate closely with teams in Oxford and contribute to the design, training, and evaluation of large models integrated into simulations.
Candidates should have over 5 years of experience in applied Deep Learning and problem-solving, along with strong coding and data science skills.
The expected salary range for this full-time role is £155,000—£163,000 GBP.
Staff ML Engineer, Ultra-Realistic AV Simulations in London employer: Waymo
Waymo is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, you will have access to cutting-edge projects in autonomous vehicle technology and the opportunity to work alongside leading experts in the field. Our culture promotes creativity and inclusivity, ensuring that every team member's contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Engineer, Ultra-Realistic AV Simulations 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 a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Deep Learning and AV simulations. This is your chance to demonstrate your coding prowess and problem-solving abilities in a way that words on a CV can't.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of large models. Practice common ML problems and be ready to discuss your past experiences in detail—this is where we can really shine!
✨Tip Number 4
Don't forget to 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.
We think you need these skills to ace Staff ML Engineer, Ultra-Realistic AV Simulations in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in applied Deep Learning and problem-solving. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about ultra-realistic AV simulations and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Coding Skills:Since strong coding skills are a must, consider including links to your GitHub or any relevant projects. We love seeing practical examples of your work, so don’t hold back on sharing your code!
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’s super easy!
How to prepare for a job interview at Waymo
✨Know Your Stuff
Make sure you brush up on your deep learning concepts and the latest advancements in AV simulations. Be ready to discuss your past projects and how they relate to the role at Waymo. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Coding Skills
Since strong coding skills are a must, prepare to demonstrate your proficiency. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures. Familiarise yourself with the languages and frameworks relevant to the job.
✨Collaborative Mindset
Waymo values teamwork, especially since you'll be collaborating with teams in Oxford. Be prepared to discuss how you've worked effectively in teams before, and share examples of how you’ve contributed to group projects or solved conflicts.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the specific challenges the team is facing with AV simulations or how they measure success in their projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
