AI Engineer

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.

Job Description

The AI Engineer is part of a newly-created team dedicated to leveraging data and artificial intelligence to enhance decision-making, performance, and operational efficiency. You'll contribute 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 optimisation algorithms.

You'll develop and deploy advanced machine learning models, ensuring they deliver real-world competitive advantages.

What You'll Do:

• Develop, refine, and deploy cutting-edge AI models and pipelines for real-time and offline applications.

• Apply machine learning to optimize performance across the business - this includes leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization of vehicle dynamics!

• Stay ahead with emerging AI and data technologies.

• Work cross-functionally to turn complex insights into clear, actionable decisions.

• Ensure understanding of cost cap requirements and identify opportunities to improve optimisation.

Skills, Knowledge and Experience:

• Strong knowledge of AI and data technologies including Python (TensorFlow, PyTorch, Scikit-learn, etc.), and experience in C++ is a plus.

• Strong communication skills to bridge tech and business teams

• Experience with LLMs and model interpretability libraries, bringing simplicity to complex models.

• The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders.

• Involvement across multiple projects simultaneously, with the ability to prioritise effectively and deliver results in a fast-paced environment.

Additional Information

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