Über uns.

Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.

Für den Unternehmensbereich Gastronomy am Standort München suchen wir Sie als

Junior AI Engineer - Industrial Foundation Models (f/m/x)

Beschreibung

IT CAN BE COMPLICATED.

TEAMWORK SHOULDN'T BE.

Success is a team sport. That's why BMW doesn't simply employ specialists with proven expertise, but real people who understand one other. And we support them with cutting-edge technology and sophisticated processes that leave enough space for unconventional thinking.

We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new foundation models. Our team sets standards for the safe and scalable AI in engineering and production.

What awaits you?

• You build and adapt large language, reasoning, and multimodal models for automation across engineering, manufacturing, and robotics.
• In addition, you create data flywheels and scalable data pipelines, define and curate high-quality fine-tuning datasets, and design efficient annotation workflows.
• You integrate models into end-to-end agentic AI systems.
• You design model and data architectures, translate business needs into technical roadmaps, and optimize post-training and fine-tuning (e.g., RLHF, DPO, PEFT).
• Establishing frameworks for performance, safety, and security, as well as monitoring quality, drift, bias, and hallucinations, is part of your tasks.
• Not least, you partner with platform, data, and product teams to ship reliable, compliant AI services.

Qualifikationen

What should you bring along?

• University degree (PhD or Master) in computer science, AI, mathematics, or related field.
• Deep expertise with LLMs and multimodal models, plus strong knowledge of post training and fine-tuning methods (e.g., reinforcement learning).
• Strong programming skills (e.g., Python, PyTorch or JAX) and experience with large scale cloud data and training pipelines.
• Excellent analytical and systems thinking for designing and scaling complex ML services.
• Experience integrating AI into enterprise IT environments.
• Open source contributions or relevant certifications are a plus.

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.

Was wir bieten

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.
• Discounted BMW & MINI conditions.
• Many other benefits at bmw.jobs/benefits

Earliest starting date: from now on

Type of employment: unlimited

Working hours: full-time

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).

Stellenreferenz: 173805

Kontakt

Auf der Suche nach einer spannenden Herausforderung?

Hier gibt es viele weitere Informationen über uns als Arbeitgeber: https://www.bmwgroup.jobs/de/de/ueber-uns.html

Bewerbungstipps und Einblicke hinter die Kulissen gibt es auch auf facebook.com/bmwgroupcareers

und instagram.com/bmwgroupcareers.

Stellenreferenz: 173805

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.