About this role
SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
Our team at the BMW Group drives the implementation of new technologies as part of a consistent digitization strategy for the BMW production system. You will gain valuable insights into the development of scalable and secure Generative AI applications, focusing on platforms for efficient provisioning of LLM-based solutions in production environments.
What awaits you?
- You will support our application codebase by reviewing existing projects, writing library modules and conducting integration tests.
- Furthermore, you help to research and test strategies for knowledge retrieval and search.
- In addition, you contribute to adapting and aligning language models and embeddings to specific use cases using advanced prompt and finetuning techniques.
- Moreover, you will assist in designing, implementing and testing data preprocessing strategies.
- You help to collect and implement customer feedback for your solutions.
- Furthermore, you support communication and presentation of your work and ongoing developments in the LLM area within the team and the AI network.
What should you bring along?
- Studies in computer science, mathematics, machine learning or a related field.
- Experience with modern software development and tools such as GitHub, IDEs, agile models and Linux bash.
- Strong practical experience in Python programming.
- Solid knowledge of deep learning and natural language processing fundamentals.
- Hands-on experience with at least one major LLM open source framework such as LangChain or Llama-Index.
- Analytical problem-solving skills and motivation to support independently.
- Very good German and English skills.
Would you like to support our team in developing innovative Generative AI applications for production environments? Then apply now!
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive & fair compensation.
- Apartments for students (subject to availability & only at the Munich location).
- And much more, see bmw.jobs/waswirbieten
Start date: from 01.03.2026
Duration: 6 months
Working hours: Full-time
Do you have questions? Then submit your inquiry easily via our Contact form. Your inquiry will be answered by phone or email afterwards.
We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here.
Other facts
About BMW Group
With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial services. The BMW Group production network comprises over 30 production sites worldwide; the company has a global sales network in more than 140 countries.
In 2024, the BMW Group sold over 2.45 million passenger vehicles and more than 210,000 motorcycles worldwide. The profit before tax in the financial year 2024 was € 11.0 billion on revenues amounting to € 142.4 billion. As of 31 December 2024, the BMW Group had a workforce of 159,104 employees.
The economic success of the BMW Group has always been based on long-term thinking and responsible action. Sustainability is a key element of the BMW Group’s corporate strategy and covers all products from the supply chain and production to the end of their useful life.
What you'll do
- You will support the application codebase by reviewing existing projects and writing library modules. Additionally, you will assist in researching strategies for knowledge retrieval and adapting language models to specific use cases.
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