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Senior Expert Industry Foundation Models; f​/m​/x

in 80331, München, Bayern, Deutschland
Unternehmen: Bayerische Motoren Werke Aktiengesellschaft
Vollzeit position
Verfasst am 2026-01-15
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur, Systemingenieur, Dateningenieur, Data Science Manager
  • Ingenieur
    Künstliche Intelligenz Ingenieur, Systemingenieur, Dateningenieur, Data Science Manager
Stellenbeschreibung
Senior Expert for Industry Foundation Models (f/m/x)

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.

At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.

You drive the development of domain specific AI and shape the next generation of Large Industry Models (LIMs) for the BMW Group. LIMs bridge the gap between generic foundation models and the complex requirements of industrial environments. By building and scaling LIMs, you enable a new class of AI solutions across the entire value chain, from engineering and manufacturing to robotics, customer, and service, delivering measurable and sustainable business impact.

What awaits you?

  • You define the technical and business product vision and system architecture for Large Industry Models, covering model, data, and platform layers.
  • You lead and technically mentor an engineering team building multimodal foundation model stacks, including language, vision, and action models.
  • You guide core technical and architectural decisions, selecting and adapting foundation models and designing scalable AI systems.
  • You develop a comprehensive industrial data strategy, including data sourcing, curation, annotation, and feedback loops.
  • You ensure reliable delivery of LIMs into cloud production environments with strong MLOps, evaluation, safety, and compliance standards.

What should you bring along?

  • Advanced degree in computer science, mathematics, data science, or a related field, or equivalent senior industry experience.
  • Five to ten years of professional experience, including several years in advanced AI and technical leadership roles.
  • Ability to translate complex technical concepts into AI strategies, products, roadmaps, and measurable impact.
  • Deep expertise in foundation models, particularly multimodal and reasoning models, including adaptation and post training methods.
  • Proven experience building large scale AI systems, including distributed training, high throughput inference, GPU acceleration, and cost optimization.
  • Strong background in industrial or automotive data, processes, and IT systems.
  • Excellent software engineering skills in Python and modern ML frameworks, with the ability to adapt to internal platforms and tool chains.

Are you ready to help shape the next generation of domain-specific AI platforms? Apply now!
Find out more about Artificial Intelligence at the BMW Group here .

Note: Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.

What do we offer?

  • Challenging projects with which we shape the mobility of tomorrow together.
  • Wide range of personal and professional development opportunities.
  • Attractive, fair and performance-related remuneration.
  • High level of job security.
  • Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
  • Flexible working hours including six weeks annual leave and overtime compensation.

If you apply, the next steps in the selection process include an online test and subsequent interviews with the hiring manager (either virtually or in person).

Do you have any questions? Then simply send your enquiry using our contact form . Your enquiry will be answered by telephone or e-mail.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here .

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