At a Glance
- Tasks: Develop and optimise machine learning systems for autonomous driving technology.
- Company: Waymo, a leader in autonomous driving innovation.
- Benefits: Competitive salary, bonus program, equity incentives, and generous benefits.
- Other info: Collaborative environment with opportunities for technical leadership and innovation.
- Why this job: Join a mission-driven team to revolutionise mobility and save lives.
- Qualifications: M.S. or Ph.D. in relevant fields with 5+ years of ML experience.
The predicted salary is between 120000 - 130000 € 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 DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver.
We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack. You will:
- Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors.
- Lead the implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors.
- Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies.
- Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.
- Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system.
- Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.
You have:
- M.S. or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.
- 5+ years of hands‑on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning.
- Demonstrated expertise in deep learning, sequence modeling, and generative models.
- Strong publication record or history of impactful project delivery in RL or related areas.
- Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow).
- Experience with large-scale distributed training and data processing.
- Proven ability to lead complex and ambiguous technical projects from conception to completion.
We prefer:
- 7+ years of relevant experience in ML/RL research and application.
- Experience in the autonomous vehicles domain, robotics, or complex simulation environments.
- Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences).
- Familiarity with large-scale simulation platforms and their integration with ML training workflows.
- Experience designing and using metrics for evaluating complex AI systems.
- Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries.
- Excellent communication skills, with the ability to articulate complex technical concepts clearly.
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 £120,000 — £130,000 GBP
Machine Learning Engineer in London employer: Deepstreamtech
Waymo is an exceptional employer, offering a dynamic work environment in London where innovation meets purpose. Employees benefit from a culture that prioritises collaboration and professional growth, alongside competitive salaries and comprehensive benefits, including participation in an annual bonus program and equity incentives. Joining Waymo means being part of a pioneering team dedicated to transforming mobility and enhancing safety through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Waymo or similar companies. Use LinkedIn to connect and engage with them; you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving reinforcement learning. Share it on GitHub and make sure it's easy for recruiters to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—especially how they relate to autonomous systems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search—so don’t hesitate to hit that apply button!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with ML models, especially in Reinforcement Learning, and any relevant projects that showcase your skills. We want to see how your background aligns with our mission at Waymo!
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 expertise can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Projects:If you've worked on any impactful projects, especially in ML or RL, make sure to include them in your application. We love seeing real-world applications of your skills, so don't hold back on sharing your achievements!
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 shows you’re serious about joining our team at Waymo!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on the latest advancements in machine learning, especially in reinforcement learning and generative models. 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 can apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach building scalable systems or optimising ML models for autonomous driving. Use examples from your experience to illustrate your thought process and problem-solving abilities.
✨Collaboration is Key
Waymo values teamwork, so be prepared to discuss how you've worked with cross-functional teams in the past. Highlight any experiences where you led projects or collaborated with other technical leads, as this will demonstrate your ability to communicate complex ideas effectively.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team’s current challenges or the technologies they’re excited about. This not only shows your interest in the role but also gives you a chance to assess if Waymo is the right fit for you.