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- Tasks: Design and evaluate large-scale machine learning models for autonomous driving solutions.
- Company: Leading UK tech company revolutionising autonomous driving.
- Benefits: Competitive salary, bonus program, and comprehensive benefits package.
- Why this job: Join a cutting-edge team and shape the future of autonomous driving technology.
- Qualifications: Strong Python programming skills and solid understanding of machine learning.
- Other info: Exciting full-time role with opportunities for growth in a dynamic environment.
The predicted salary is between 93000 - 100000 £ per year.
A leading autonomous driving technology company in the UK is seeking a Machine Learning Engineer to work on autonomous driving solutions. You will collaborate with various teams to design and evaluate large-scale machine learning models. The ideal candidate will have strong programming skills in Python and a solid understanding of machine learning.
This full-time position offers a competitive salary range of £93,000—£100,000 GBP, along with benefits and a bonus program.
ML Engineer — AI Foundations for Autonomous Driving employer: Waymo
Contact Detail:
Waymo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer — AI Foundations for Autonomous Driving
✨Tip Number 1
Network like a pro! Reach out to people in the autonomous driving field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to autonomous driving. This gives us a tangible way to see what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and machine learning concepts. We recommend practicing coding challenges and discussing your thought process out loud to impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace ML Engineer — AI Foundations for Autonomous Driving
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any relevant machine learning experience. We want to see how you can contribute to our autonomous driving solutions!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention specific projects or experiences that align with the role of a Machine Learning Engineer.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and skills are easy to spot at a glance.
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 this exciting opportunity!
How to prepare for a job interview at Waymo
✨Know Your ML Basics
Brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation metrics, and the latest trends in autonomous driving technology. This will show that you’re not just a coder but someone who understands the core principles behind the models you'll be working with.
✨Showcase Your Python Skills
Since strong programming skills in Python are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your previous projects. Practise coding challenges and be ready to discuss your thought process while coding.
✨Collaborative Mindset
This role involves working with various teams, so highlight your teamwork experience. Prepare examples of how you've successfully collaborated on projects in the past, especially in cross-functional settings. This will show that you can communicate effectively and contribute to a team environment.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company’s approach to autonomous driving and their machine learning strategies. This not only shows your interest but also helps you gauge if the company is the right fit for you.
