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- Tasks: Join us as an AI Engineer to enhance performance and decision-making in motorsport.
- Company: Williams Racing is a legendary F1 team with 16 World Championship titles and a rich engineering heritage.
- Benefits: Enjoy a full-time role with opportunities for growth, collaboration, and cutting-edge technology.
- Why this job: Be part of a dynamic team pushing the boundaries of AI in racing, making a real impact.
- Qualifications: Masters or PhD in Engineering/Science; experience in AI/machine learning; strong Python skills required.
- Other info: We value diversity and are open to discussing reasonable job adjustments.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Join to apply for the AI Engineer role at Williams Racing
Join to apply for the AI Engineer role at Williams Racing
We are looking for an AI Engineer to join the team. You will play a critical role in a team dedicated to leveraging data and artificial intelligence to enhance decision-making, performance, and operational efficiency. This role contributes to the development and execution of the data and AI strategy, ensuring that all available data is transformed into actionable insights through advanced machine learning models and optimization algorithms.
You will collaborate on specific projects across various departments including Aero Development, Vehicle Dynamics, Vehicle Performance, and Operations. In addition, you will develop, refine, and deploy cutting-edge AI models and pipelines across various applications, focussing on ensuring these technologies contribute to competitive advantage in areas such as race strategy, vehicle-dynamics, performance, operational decision-making and others.
Responsibilities:
- Ensure that AI models, algorithms, and processes are deployed effectively across key areas such as vehicle development, race performance analysis, and decision-making support.
- Develop, refine, and deploy cutting-edge AI models and pipelines across various applications. Focus on ensuring these technologies contribute to competitive advantage in areas such as race strategy, vehicle-dynamics performance, and operational decision-making and others.
- Build and maintain data models to derive insights from available data for real-time and offline applications.
- Developing surrogate models and data fusion models from the data available.
- Apply AI for performance optimization across the business. This includes leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization of vehicle dynamics.
- Ensure that the AI team remains on the cutting edge by exploring emerging technologies.
- Ensure understanding of cost cap requirements and identify opportunities to improve optimisation.
Skills and experience required:
- Masters or PhD in Engineering or Science subject (or equivalent)
- Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains.
- Excellent communication and collaboration skills, with the ability to work cross-functionally and manage relationships with multiple business and technical stakeholders.
- Ability to quickly grasp cutting-edge motorsport engineering concepts.
- Strong knowledge of AI and data technologies including Python (PyTorch, scikit-learn, etc.) is a must – experience building high-performance python packages from Rust/C/C++ is beneficial.
- The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders.
- Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment.
Company Description
For almost 50 years, Williams Racing has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name.
Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers’ Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to the front of the grid.
Additional Information
Atlassian Williams Racing is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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AI Engineer employer: Williams Racing
Contact Detail:
Williams Racing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in the context of motorsport. Understanding how these technologies are applied in racing can give you an edge during interviews.
✨Tip Number 2
Network with professionals in the motorsport industry, particularly those working in AI roles. Attend relevant events or join online forums to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully deployed AI models. Be ready to explain your thought process, the challenges you faced, and how your solutions contributed to performance improvements.
✨Tip Number 4
Showcase your ability to communicate complex data insights clearly. Practice explaining technical concepts in simple terms, as this skill is crucial for collaborating with non-technical stakeholders at Williams Racing.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Focus on projects where you've developed or deployed models, especially in engineering or performance optimisation contexts.
Craft a Compelling Cover Letter: In your cover letter, express your passion for motorsport and how your skills align with the role. Mention specific technologies you’ve worked with, like Python and machine learning frameworks, and how they can benefit Williams Racing.
Showcase Collaboration Skills: Since the role involves working across various departments, emphasise your teamwork and communication skills. Provide examples of past experiences where you successfully collaborated with diverse teams to achieve a common goal.
Highlight Problem-Solving Abilities: Demonstrate your analytical thinking by discussing challenges you've faced in previous roles and how you used AI to solve them. This will show your potential to contribute to decision-making and operational efficiency at Williams Racing.
How to prepare for a job interview at Williams Racing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI and machine learning models in detail. Highlight specific projects where you've developed or deployed algorithms, especially those relevant to performance optimisation or data analysis.
✨Understand the Motorsport Context
Familiarise yourself with the basics of motorsport engineering and how AI can enhance race strategy and vehicle dynamics. This will help you connect your technical skills to the specific needs of Williams Racing.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You may need to present your ideas to non-technical stakeholders, so being able to make your insights understandable is crucial.
✨Demonstrate Collaboration Skills
Prepare examples of how you've worked cross-functionally in previous roles. Williams Racing values teamwork, so showcasing your ability to manage relationships with various stakeholders will set you apart.