<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Join Our Team<br/><br/>We are the Audi Revolut F1® Team.<br/><br/>Audi Revolut F1 Team is the official factory team of Audi, as the brand enters the FIA Formula 1 World Championship for the first time in 2026.<br/><br/>The team is based in three locations: the power unit is developed by Audi Formula Racing GmbH at the Audi Competence Center Motorsport in Neuburg, Germany; the chassis is engineered and race operations are managed from the state-of-the-art facilities of Audi Motorsport AG in Hinwil, Switzerland; while the Audi Motorsport Technology Centre UK in Bicester, United Kingdom, provides a foothold in the heart of 'Motorsport Valley', with direct access to top F1 talent and key strategic partners.<br/><br/>What you need? The mindset of an athlete. If you are someone for whom giving up isn’t an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history.<br/><br/>This position for the Audi Revolut F1® Team is based at Audi Motorsport AG in Hinwil (Switzerland).<br/><br/>Your mission<br/><br/><ul><li>Develop and implement advanced data analytics and machine learning solutions to support performance optimization across the car and race operations</li><li>Transform complex datasets into actionable engineering insights to guide technical decision-making</li><li>Model complex systems and real-world dynamics using statistical, mathematical, and simulation-based methods</li><li>Improve computational performance and scalability of existing tools and workflows</li><li>Package, deploy, and maintain analytical solutions as robust, reusable software components and APIs</li><li>Communicate results clearly to engineers and key stakeholders</li><li>Participate in code reviews, testing, documentation, and continuous improvement of software systems<br/><br/></li></ul>Your profile<br/><br/><ul><li>Currently enrolled in a Master's degree in Engineering, Computer Science, Data Science, Applied Mathematics, Physics, or a closely related field</li><li>Solid programming experience in Python (C/C++, C# is a plus)</li><li>Strong understanding of machine learning and deep learning concepts, data preprocessing and feature engineering</li><li>Familiarity with software engineering principles such as object-oriented programming, version control, containerization, and/or DevOps workflows is beneficial </li><li>Basic knowledge of relational or NoSQL databases ia s plus but not required</li><li>Interest or basic understanding of aerodynamics, vehicle dynamics, or motorsport technology is a plus but not required</li><li>Highly motivated team player with a proactive and creative mindset</li><li>Analytical, pragmatic, and detail-oriented approach to problem-solving</li><li>Fluency in English</li></ul> </div>