182180 Senior Applied AI / ML Data Engineer (f/m/x) Published: 27.03.2026 Software Development [...]

BMW Group; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Challenging projects

Development opportunities

Performance-related remuneration

Annual special payments

Flexible working hours

6 weeks annual leave

Zusammenfassung

A global automotive leader in Munich is seeking a Machine Learning Engineer to design data pipelines and develop AI solutions for next-generation mobility. You will integrate your expertise in Python and machine learning to create innovative technologies that will shape the future of travel. The ideal candidate should have a university degree in Computer Science or related fields, and several years of experience in machine learning engineering. A hands-on mentality and strong problem-solving skills are essential. Flexible working hours and competitive remuneration are offered.

Qualifikationen

• Several years of experience in machine learning engineering.
• Practical knowledge of evaluation at scale.
• Professional English proficiency; German is a plus.

Aufgaben

• Design data pipelines for ingestion and curation.
• Implement reproducible training for GenAI models.
• Build and operate data pipelines with self-serve tools.

Kenntnisse

Machine learning engineering

Python (PyTorch)

Testing and profiling

CI/CD

Problem-solving skills

Cross-functional communication

Ausbildung

University degree in Computer Science, Engineering, or related field

Tools

A/B experimentation

Causal inference basics

Jobbeschreibung

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!

Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next‑gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.

We are an international team of experts shaping the future of intelligent mobility by developing privacy‑first data and model solutions for BMW’s next‑generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.

What awaits you?

• You design data pipelines for ingestion, curation, pseudonymization, and versioning.
• Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
• You set up experiment tracking and artifact registries for model variants.
• Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
• You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
• You build and operate the data pipelines and provide self‑serve tools for the team.

What should you bring along?

• University degree in Computer Science, Engineering, or a related field.
• Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
• Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
• Experience with A/B experimentation, basics of causal inference, and privacy‑preserving learning patterns.
• Motivation to embrace customer problems and find innovative solutions using available technologies.
• You enjoy working on complex problems in an international in‑house team of experts.
• Professional English proficiency; German is a plus.

Are you ready to take proactive action with a hands‑on mentality, strong problem‑solving skills, and excellent cross‑functional communication? Apply now!

Find out more about Artificial Intelligence at the BMW Group here.

Note:

Please apply exclusively online via our career portal. Applications via other channels (esp. e‑mail) cannot be considered.

What do we offer?

• Challenging projects with which we are shaping 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 6 weeks annual leave and overtime compensation.

Type of employment: unlimited

Working hours: Full‑time

If you apply, the next stages of the recruiting process include online testing and then technical interviews with the hiring manager (either virtual or in person).

You can find helpful tips on your application and the application process here.

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.