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- Tasks: Join a team to enhance ultra-realistic AV simulations using cutting-edge machine learning.
- Company: Waymo is a pioneering autonomous driving tech company focused on safety and mobility.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, equity plans, and generous benefits.
- Why this job: Be part of a collaborative environment pushing the boundaries of AV technology with real-world impact.
- Qualifications: 5+ years in Deep Learning, coding, and solving complex production problems required.
- Other info: Opportunity to work with teams in London, MTV, and Oxford on innovative projects.
The predicted salary is between 150000 - 162000 £ per year.
Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ 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 setup and rollout multiple scenarios to subject our driver to. We are planning to 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 Director. 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:
- 5+ years experience in applied Deep Learning
- 5+ 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 £150,000 — £162,000 GBP
Staff Machine Learning Engineer, Simulation employer: Waymo
Contact Detail:
Waymo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer, Simulation
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in the context of autonomous vehicles. Understanding how foundation models are applied in simulations will give you an edge during discussions with our team.
✨Tip Number 2
Network with professionals in the field of autonomous driving and machine learning. Attend relevant conferences or meetups to connect with individuals who may have insights into Waymo's work and culture.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those that involved deep learning and simulation. Be ready to explain your problem-solving approach and how you took research from concept to production.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you worked in diverse teams. Waymo values a variety of perspectives, so demonstrating your ability to work well with others will be beneficial.
We think you need these skills to ace Staff Machine Learning Engineer, Simulation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in applied Deep Learning and coding skills. Emphasise any relevant projects or roles that demonstrate your ability to solve complex production problems using state-of-the-art ML techniques.
Craft a Compelling Cover Letter: In your cover letter, express your passion for autonomous driving technology and how your background aligns with Waymo's mission. Mention specific experiences that showcase your expertise in Data Analysis or Data Science, and your ability to collaborate within a research engineering team.
Showcase Relevant Projects: Include details of any projects where you have trained and evaluated large models or developed metrics for measuring realism in simulations. This will demonstrate your hands-on experience and understanding of the challenges involved in building ultra-realistic AV simulations.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any grammatical errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role like this.
How to prepare for a job interview at Waymo
✨Showcase Your Deep Learning Expertise
Make sure to highlight your experience in applied deep learning during the interview. Be prepared to discuss specific projects where you've successfully implemented machine learning techniques, especially those that relate to simulation or autonomous vehicles.
✨Demonstrate Problem-Solving Skills
Waymo values candidates who can tackle complex production problems. Prepare examples of challenges you've faced in previous roles and how you approached solving them using state-of-the-art ML techniques.
✨Familiarise Yourself with Simulation Technologies
Since the role involves building ultra-realistic simulations, brush up on the latest trends and technologies in simulation and modelling. Being able to discuss these topics will show your genuine interest and understanding of the field.
✨Prepare for Collaborative Discussions
As this position requires collaboration with teams in different locations, be ready to discuss your experience working in diverse teams. Highlight your communication skills and how you've successfully collaborated on research projects in the past.
