Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of advanced machine learning models and enhance fleet performance.
- Company: A top autonomous technology firm based in London.
- Benefits: Competitive salary, innovative projects, and a chance to shape the future of technology.
- Why this job: Join a pioneering team and make a significant impact in the world of autonomous tech.
- Qualifications: B.S. in relevant fields, strong coding skills in C++/Python, and 5+ years in machine learning.
- Other info: Exciting opportunities for career growth in a dynamic and innovative environment.
The predicted salary is between 150000 - 162000 £ per year.
A leading autonomous technology firm in London is seeking a Staff Machine Learning Engineer specializing in simulation. In this role, you will lead the development of cutting-edge machine learning models, improve workflows, and evaluate performance of the company's fleet.
Ideal candidates will have:
- A B.S. in relevant fields
- Strong coding skills in C++ and/or Python
- Over 5 years of experience in machine learning
This is a full-time position with a competitive salary range of £150,000—£162,000.
Staff ML Engineer - Simulation & Fleet Evaluation employer: Waymo
Contact Detail:
Waymo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Engineer - Simulation & Fleet Evaluation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving simulation and fleet evaluation. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in C++ and Python. Practice common algorithms and data structures, and be ready to solve problems on the spot.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Staff ML Engineer - Simulation & Fleet Evaluation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and coding skills in C++ and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about simulation and fleet evaluation. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just responsibilities. We’re interested in how you’ve led projects or improved workflows in your previous roles—numbers and results speak volumes!
Apply Through Our Website: We encourage you to apply directly 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 people!
How to prepare for a job interview at Waymo
✨Know Your Tech Inside Out
Make sure you brush up on your coding skills in C++ and Python. Be ready to discuss specific projects where you've implemented machine learning models, as well as the challenges you faced and how you overcame them.
✨Showcase Your Experience
With over 5 years of experience in machine learning, you should have plenty of examples to share. Prepare to talk about your role in developing workflows and evaluating performance, especially in relation to fleet management or simulation.
✨Understand the Company’s Vision
Research the company’s current projects and their approach to autonomous technology. Being able to align your skills and experiences with their goals will show that you're genuinely interested and a good fit for the team.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges and be ready to explain your thought process clearly. This will demonstrate not just your knowledge, but also your ability to communicate complex ideas effectively.
