At a Glance
- Tasks: Lead the development of cutting-edge machine learning models for autonomous vehicles.
- Company: Waymo, a leader in autonomous driving technology with a mission to improve mobility.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a pioneering team and make a real impact on the future of transportation.
- Qualifications: B.S. in a technical field, strong coding skills, and 5+ years in machine learning.
The predicted salary is between 150000 - 162000 € 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 will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver.
We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. In this role, you will:
- Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows.
- Design and build Gen AI LLM/VLM solutions for self-driving car behaviour analysis and anomaly detection.
- Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a Reinforcement Learning from human preference-based data collection and evaluation system.
- Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback.
- Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles.
- Drive technical direction, and provide technical inputs and guidance to the team.
- Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives.
- Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.
At a minimum we would like you to have:
- B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience.
- Strong coding experience in C++ and/or Python.
- Experience in at least one of: Foundational Models, VLM, Deep Learning.
- 5+ years of hands-on experience in machine learning projects.
- Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale.
It's preferred if you have:
- M.S. or Ph.D. degree in Computer Science or related quantitative field with a specialization in machine learning.
- Deep learning experience with Transformers.
- Gen AI LLM/VLM experience.
- Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization.
- Large-scale data processing and analytical skills.
Salary Range £150,000—£162,000 GBP
Staff Machine Learning Engineer employer: Deepstreamtech
Waymo is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the cutting-edge field of autonomous driving technology. Employees benefit from competitive salaries, opportunities for professional growth, and the chance to work on impactful projects that enhance mobility and safety. Located in London, the DUE ML Core team provides a unique environment where passionate individuals can thrive while contributing to the future of transportation.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Machine Learning Engineer
✨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—ask questions, share insights, and show your passion for machine learning.
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills in C++ and Python. Practice solving problems on platforms like LeetCode or HackerRank, focusing on algorithms and data structures that are relevant to machine learning.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your machine learning projects, especially those involving deep learning and reinforcement learning. Make sure to include any tools or frameworks you've used, like TensorFlow or PyTorch.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Waymo and contributing to their mission.
We think you need these skills to ace Staff Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your coding experience in C++ and Python, and any relevant machine learning projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background aligns with our goals at Waymo. Don't forget to mention any specific projects or achievements that showcase your expertise.
Showcase Your Projects:If you've worked on any machine learning projects, especially those involving deep learning or reinforcement learning, make sure to include them. We love seeing practical applications of your skills, so share links to your GitHub or any relevant portfolios!
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 your enthusiasm for joining our team at Waymo!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially in deep learning and reinforcement learning. Familiarise yourself with the latest trends and technologies in the field, particularly those related to autonomous driving. This will not only help you answer technical questions but also show your passion for the industry.
✨Showcase Your Projects
Prepare to discuss your previous machine learning projects in detail. Be ready to explain your role, the challenges you faced, and how you overcame them. Highlight any experience with frameworks like TensorFlow or PyTorch, and be specific about the impact your work had on the project outcomes.
✨Collaborative Mindset
Waymo values teamwork, so be prepared to discuss how you've collaborated with cross-functional teams in the past. Share examples of how you’ve worked with product managers or other engineers to align technical goals with business objectives. This will demonstrate your ability to fit into their collaborative culture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about Waymo’s technology stack, their approach to machine learning, or future projects. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.
