Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a 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 improve mobility and safety.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- 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 data analysis.
- Other info: Collaborative environment with a focus on research and development.
The predicted salary is between 96000 - 104000 £ 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
Salary Range: £120,000—£130,000 GBP
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
Location: London, England, United Kingdom
Senior Machine Learning Engineer, Simulation in City of London employer: Waymo
Contact Detail:
Waymo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer, Simulation in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Waymo or similar companies. LinkedIn is your best mate here—send personalised connection requests and engage with their posts to get noticed.
✨Tip Number 2
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice common algorithms and data structures, and don’t forget to work on real-world problems that showcase your experience in applied deep learning.
✨Tip Number 3
Showcase your projects! Whether it’s a GitHub repo or a personal website, make sure you have a portfolio that highlights your work in simulations and machine learning. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to apply directly. Don’t hesitate—get your application in and let’s make some magic happen!
We think you need these skills to ace Senior Machine Learning Engineer, Simulation in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with deep learning and any relevant projects that showcase your skills in simulation and model training.
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. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects related to machine learning or simulations, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work!
Apply Through Our Website: Don't forget to apply 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 to do!
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, especially those that involved complex production problems. Waymo will want to see how you've applied your skills in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working with teams across different locations, be prepared to talk about your experience collaborating with others. Share examples of how you've worked in a team to solve problems or push research ideas into production.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis, model training, and simulation metrics. Practise explaining your thought process clearly and concisely, as this will demonstrate your problem-solving abilities and technical expertise.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the challenges they face in simulation realism, or how they measure success in their projects. This shows your genuine interest in the role and the company.
