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Machine Learning Engineer
Mercedes-AMG PETRONAS Formula One Team
Mercedes-AMG PETRONAS Formula One Team is the works team of Mercedes-Benz, competing at the pinnacle of motorsport – the FIA Formula One™ World Championship. Formula One is like nothing else in the sporting sphere.
Job Posted- 27 Feb 2025
Status- Full Time
Location- England
Closing date- 16 Mar 2025
We are looking for a Machine Learning Engineer to join the AI Development team within the Performance Capability Department. The aim of the AI Development team is to provide best-in-class AI technologies and models to enhance the efficiency and effectiveness of our operations.
The Machine Learning Engineer is a position tasked with creating and sustaining AI applications within the AI development team. This role will involve collaboration with fellow engineers and engagement with various departments and will report to the Head of Performance Software Applications.
What you’ll be doing:
- Implement machine learning frameworks and libraries for diverse applications.
- Conduct experiments and evaluations to enhance and validate AI algorithms.
- Develop, train, and validate AI models to address complex technical challenges.
- Create and oversee tools for the lifecycle and integration of AI models.
- Implement data analysis and pre-processing techniques to enhance data comprehension and model performance.
- Collaborate with other teams to integrate and deploy the developed models.
What we’re looking for:
- A strong desire to create best in class AI models in a motorsport environment, aligning personal skills and interests with business objectives.
- Exceptional communication and teamwork abilities.
- A Master or PhD degree in engineering, mathematics, physics, data science, or a related scientific field.
- A solid foundation in statistics, data science, linear algebra, machine learning algorithms, and optimization.
- Extensive knowledge of Python libraries and frameworks pertinent to AI development.
- Practical experience with software development methodologies.
Benefits:
Our riverside campus is powered by 100% renewably sourced energy and features an on-site gym and exercise studio, subsidised restaurant and on-site parking with EV chargers available.
We offer a competitive and attractive package of benefits including a generous bonus scheme, Mercedes car lease scheme, private medical cover, life assurance and 25 days holiday. We pride ourselves on our family-friendly environment, employee well-being programme and offer flexible working opportunities.
How to Apply
Please click APPLY NOW to begin the application process.