Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy innovative AI solutions to enhance F1 racing performance.
- Company: Leading motorsport organisation at the forefront of technology.
- Benefits: Exciting benefits in a dynamic Formula One environment.
- Why this job: Join a thrilling team and drive innovation in the fast-paced world of F1.
- Qualifications: Bachelor’s or Master’s in AI, strong Python skills, and experience with AI frameworks.
- Other info: Collaborative environment with opportunities for growth and impact.
The predicted salary is between 36000 - 60000 £ per year.
A leading motorsport organization seeks an AI Research Engineer to develop and deploy innovative AI and machine learning solutions to enhance performance. The role demands collaboration across departments, from research to engineering, to deliver robust data-driven systems.
Ideal candidates will have a Bachelor’s or Master’s degree in AI, strong Python skills, and experience in AI frameworks like PyTorch or TensorFlow.
Join us in Enstone for an exciting opportunity with excellent benefits in the Formula One environment.
AI Research Engineer — Drive ML Innovation in F1 Racing employer: Alpine F1 Team
Contact Detail:
Alpine F1 Team Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Engineer — Drive ML Innovation in F1 Racing
✨Tip Number 1
Network like a pro! Reach out to folks in the motorsport and AI communities. Attend events, join online forums, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to machine learning. If you've worked on anything that enhances performance or data-driven systems, make sure it’s front and centre when you chat with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and AI frameworks like PyTorch or TensorFlow. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Enstone. So, get your application in and let’s drive innovation together!
We think you need these skills to ace AI Research Engineer — Drive ML Innovation in F1 Racing
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and experience with AI frameworks like PyTorch or TensorFlow in your application. We want to see how you can drive innovation in F1 racing!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the AI Research Engineer role. We love seeing candidates who understand what we’re looking for.
Collaborate and Communicate: Since this role involves working across departments, emphasise any collaborative projects you've been part of. Show us how you can communicate effectively with different teams to deliver robust solutions.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Alpine F1 Team
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss your experience with frameworks like PyTorch or TensorFlow, and think of specific projects where you've applied these skills. This will show that you're not just familiar with the tools, but that you can use them effectively in a real-world setting.
✨Show Your Collaborative Spirit
Since the role involves working across departments, be prepared to talk about your teamwork experiences. Think of examples where you collaborated with others to solve problems or deliver projects. Highlight how you communicate and share ideas, as this will demonstrate your ability to fit into their team-oriented culture.
✨Get Familiar with F1
Do some research on the motorsport organisation and its recent innovations in AI within Formula One. Understanding the industry will help you connect your skills to their needs and show genuine interest in the role. You might even want to mention any specific AI applications in racing that excite you!
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions. Ask about the challenges they face in implementing AI solutions or how they envision the future of AI in F1. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
