At a Glance
- Tasks: Join a cutting-edge team to enhance ultra-realistic AV simulations using machine learning.
- Company: Waymo is a pioneering autonomous driving tech company focused on safety and mobility.
- Benefits: Enjoy hybrid work, competitive salary, bonuses, equity plans, and generous benefits.
- Other info: Opportunity to work with teams in London, MTV, and Oxford.
- Why this job: Be part of a collaborative culture that transforms research into real-world applications.
- Qualifications: 5+ years in Deep Learning, coding, and solving complex ML problems required.
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 (Basé à London) employer: Golden Bees
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 diverse talent. Additionally, Waymo provides competitive compensation, including a discretionary 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 Staff Machine Learning Engineer, Simulation (Basé à London)
✨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 the team.
✨Tip Number 2
Network with professionals in the field of autonomous driving and machine learning. Attend relevant meetups or conferences to connect with current employees at Waymo or similar companies, as personal referrals can significantly boost your chances.
✨Tip Number 3
Prepare to discuss your experience with complex production problems and how you've successfully implemented state-of-the-art ML techniques in past projects. Be ready to share specific examples that highlight your problem-solving skills.
✨Tip Number 4
Showcase your collaborative spirit by discussing any previous teamwork experiences, especially in research settings. Emphasising your ability to work well with diverse teams will resonate with Waymo's focus on hiring from varied backgrounds.
We think you need these skills to ace Staff Machine Learning Engineer, Simulation (Basé à London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in applied Deep Learning and coding skills. Focus on specific projects where you've solved 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 any relevant experience with simulations or large models.
Showcase Relevant Projects:Include examples of past projects that demonstrate your expertise in Data Analysis or Data Science. Highlight any work that involved training and evaluating large models or integrating them into applications.
Prepare for Technical Questions:Anticipate technical questions related to machine learning and simulations during the interview process. Brush up on your knowledge of metrics for measuring simulation realism and be ready to discuss your problem-solving approach.
How to prepare for a job interview at Golden Bees
✨Showcase Your Deep Learning Expertise
Make sure to highlight your experience with applied deep learning during the interview. Be prepared to discuss specific projects where you've successfully implemented machine learning techniques, especially in production environments.
✨Demonstrate Problem-Solving Skills
Waymo is looking for 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 working on ultra-realistic AV simulations, brush up on your knowledge of simulation technologies and metrics used to measure realism. Being able to discuss these topics will show your genuine interest in the position.
✨Emphasise Collaboration and Teamwork
This role requires collaboration with teams across different locations. Be ready to share experiences where you've worked effectively in a team setting, particularly in research or engineering contexts, to demonstrate your ability to contribute to a collaborative environment.
