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- Tasks: Conduct applied ML research and design experiments for autonomous driving technology.
- Company: Leading UK firm in autonomous driving innovation.
- Benefits: Hybrid working schedule and competitive salary of £120,000—£130,000.
- Why this job: Join a pioneering team and shape the future of AI in driving.
- Qualifications: Master's or PhD in deep learning with 3+ years experience in modern frameworks.
- Other info: Exciting opportunity to work on cutting-edge technology in a dynamic environment.
The predicted salary is between 120000 - 130000 £ per year.
A leading autonomous driving technology firm in the UK is seeking a researcher with expertise in deep learning to contribute to the AI Foundations team. The role involves conducting applied ML research, designing experiments, and collaborating on deploying models.
Candidates should hold a Master's or PhD in deep learning and have at least 3 years of experience with modern frameworks like JAX, TensorFlow, or PyTorch. A hybrid working schedule is offered, with a salary range of £120,000—£130,000 GBP.
Senior Hybrid ML Engineer, AI Foundations — Gen Models & RL in Oxford employer: Waymo
Contact Detail:
Waymo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Hybrid ML Engineer, AI Foundations — Gen Models & RL in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and experiments with deep learning frameworks like JAX, TensorFlow, or PyTorch. This is your chance to shine and demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your ML concepts and be ready to discuss your past experiences in detail. We recommend practising common interview questions and even doing mock interviews with friends.
✨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 to connect with us directly.
We think you need these skills to ace Senior Hybrid ML Engineer, AI Foundations — Gen Models & RL in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deep learning and the frameworks mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
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 background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality, so let us know what drives you!
Showcase Your Research Experience: Since this role involves applied ML research, make sure to detail any relevant research you've conducted. We’re keen to see your problem-solving skills and how you’ve contributed to deploying models in real-world scenarios.
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 gives you a chance to explore more about our company culture!
How to prepare for a job interview at Waymo
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning knowledge, especially around frameworks like JAX, TensorFlow, and PyTorch. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Prepare for Technical Questions
Expect some technical questions that dive into your experience with machine learning models and experiments. Practise explaining your thought process and the methodologies you used in your previous roles, as this will showcase your expertise.
✨Show Your Collaborative Spirit
Since the role involves collaboration, be prepared to talk about how you've worked with others in the past. Share examples of successful teamwork, especially in deploying models or conducting research, to highlight your ability to work well in a team.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the AI Foundations team's current projects or challenges they face. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
