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- Tasks: Join a creative team to design and evaluate cutting-edge ML models for autonomous vehicles.
- Company: Waymo, a leader in autonomous driving technology with a mission to improve mobility.
- Benefits: Competitive salary, annual bonus, equity incentives, and generous benefits programme.
- Why this job: Make a real impact on the future of transportation with innovative machine learning solutions.
- Qualifications: Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch.
- Other info: Hybrid work schedule with opportunities to collaborate with top research teams.
The predicted salary is between 93000 - 100000 £ 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 mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer.
You Will
- Work with a creative team of people who help to design, train, and evaluate the large-scale ML models that are used throughout Waymo’s systems, both onboard autonomous vehicles and offboard in simulation.
- Frame open-ended real-world problems as well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars.
- Collaborate with other teams including the ML infrastructure, data science and systems engineering teams, as well as various research teams such as Waymo Research, Google Brain, DeepMind and academia.
You Have
- Good programming skills - Python, JAX, TensorFlow/PyTorch.
- Strong statistical / ML theoretical knowledge, and practical experience.
We Prefer
- ML infra experience: training, evaluating and deploying ML models at scale.
- Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning or imitation learning.
- Autonomous driving experience.
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 £93,000—£100,000 GBP
Machine Learning Engineer, AI Foundations in Oxford employer: Waymo
Contact Detail:
Waymo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, AI Foundations in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Waymo or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. We love seeing what you've done!
✨Tip Number 3
Prepare for interviews by practising common ML questions and coding challenges. Get comfortable with explaining your thought process. Remember, it’s not just about getting the right answer but how you approach problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to make a difference in autonomous driving.
We think you need these skills to ace Machine Learning Engineer, AI Foundations in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your programming skills in Python, JAX, and TensorFlow/PyTorch, and showcase any relevant experience with ML models and autonomous driving.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills align with Waymo's mission. Don't forget to mention any collaborative projects you've worked on!
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to include them in your application. Whether it's deep learning or reinforcement learning, we want to see what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply 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 ML Stuff
Brush up on your machine learning theories and practical applications, especially in deep learning and reinforcement learning. Be ready to discuss how you've applied these concepts in real-world scenarios, as this will show your depth of knowledge and experience.
✨Showcase Your Coding Skills
Since programming is key for this role, make sure you can demonstrate your proficiency in Python, JAX, and TensorFlow/PyTorch. Prepare to solve coding challenges during the interview, and practice explaining your thought process clearly as you work through problems.
✨Understand the Company’s Mission
Familiarise yourself with Waymo's mission and recent advancements in autonomous driving technology. Being able to articulate how your skills align with their goals will impress the interviewers and show that you're genuinely interested in the company.
✨Collaborate and Communicate
This role involves working with various teams, so be prepared to discuss your collaboration experiences. Share examples of how you've worked effectively in a team setting, and highlight your communication skills, especially when discussing complex ML concepts.
