AI Engineer

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.

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.

#LI-KW1

Atlassian Williams Racing is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.