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- Tasks: Design and develop machine learning solutions for cutting-edge autonomous driving systems.
- Company: Leading tech company in autonomous driving based in Greater London.
- Benefits: Attractive salary, additional benefits, and opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of autonomous driving technology.
- Qualifications: Strong Python programming skills and knowledge of machine learning theories.
- Other info: Innovative environment with exciting challenges and career advancement potential.
The predicted salary is between 93000 - 100000 £ per year.
A leading autonomous driving technology company in Greater London is looking for a professional to develop machine learning solutions for autonomous driving systems. This role involves designing, training, and evaluating large-scale ML models, with a focus on innovative problem-solving.
Candidates should have strong programming skills in Python and knowledge of machine learning theories.
The position offers a salary range of £93,000—£100,000 GBP and comes with additional benefits.
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 professionals in the autonomous driving field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for ML engineering.
✨Tip Number 2
Showcase your skills! Create a portfolio of your machine learning projects, especially those related to autonomous driving. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews! Brush up on your Python programming skills and be ready to discuss machine learning theories. Practice coding challenges and mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team and working on cutting-edge technology in autonomous driving.
We think you need these skills to ace ML Engineer, AI Foundations for Autonomous Driving
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and any relevant machine learning experience. We want to see how your background aligns with the role of developing ML solutions for autonomous driving systems.
Craft a Compelling Cover Letter: Use your cover letter to showcase your innovative problem-solving skills. Tell us about specific projects or challenges you've tackled that relate to autonomous driving technology. This is your chance to stand out!
Showcase Your Projects: If you’ve worked on any large-scale ML models or relevant projects, don’t forget to mention them! We love seeing practical examples of your work that demonstrate your expertise and passion for the field.
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 in the autonomous driving space!
How to prepare for a job interview at Waymo
✨Know Your ML Models
Make sure you brush up on the latest machine learning models and techniques relevant to autonomous driving. Be prepared to discuss how you've designed, trained, and evaluated models in your previous roles. This will show your depth of knowledge and practical experience.
✨Showcase Your Programming Skills
Since strong programming skills in Python are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with libraries like TensorFlow or PyTorch that are commonly used in ML.
✨Innovative Problem-Solving
This role emphasises innovative problem-solving, so think of examples from your past work where you tackled complex issues. Prepare to explain your thought process and the impact of your solutions. This will highlight your creativity and analytical skills.
✨Research the Company
Before the interview, take some time to research the company’s projects and values. Understanding their approach to autonomous driving technology will help you tailor your answers and show genuine interest. It also gives you a chance to ask insightful questions.
