Staff ML Engineer: RL & Generative AI for Driving in London

Staff ML Engineer: RL & Generative AI for Driving in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Waymo

At a Glance

  • Tasks: Develop cutting-edge ML techniques for autonomous driving and lead innovative projects.
  • Company: Waymo, a leader in autonomous technology based in Greater London.
  • Benefits: Competitive salary, bonuses, and comprehensive benefits package.
  • Other info: Exciting opportunities for career growth in a dynamic tech environment.
  • Why this job: Join a pioneering team and shape the future of self-driving technology.
  • Qualifications: Strong background in machine learning and reinforcement learning required.

The predicted salary is between 60000 - 80000 £ per year.

Waymo in Greater London seeks researchers and software engineers to develop machine learning techniques for evaluating autonomous driving systems. Candidates should have a strong background in ML and RL and the ability to lead complex projects. The role involves building scalable systems, leading novel algorithm implementations, and collaborating with various teams to deliver key strategic efforts.

This position offers a competitive salary range of £155,000—£163,000 GBP and eligibility for bonuses and benefits.

Staff ML Engineer: RL & Generative AI for Driving in London employer: Waymo

Waymo is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a strong focus on employee growth, we provide ample opportunities for professional development and the chance to work on cutting-edge technologies in autonomous driving. Our competitive salary packages, along with bonuses and comprehensive benefits, make Waymo a rewarding place to advance your career while contributing to transformative projects in the field of machine learning and AI.

Waymo

Contact Details:

Waymo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff ML Engineer: RL & Generative AI for Driving in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Waymo or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Waymo.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Waymo.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Waymo that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Staff ML Engineer: RL & Generative AI for Driving in London

Python
Problem-Solving Skills
SQL
Communication Skills
Data Engineering
Attention to Detail
ETL/ELT Processes

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Waymo.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Waymo and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Waymo

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Waymo uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.