BMW AG
80809 München - Deutschland
Data Engineer
Arbeit
Vollzeit
ab 01.05.2026
Beschreibung
Stellenreferenz: 182180
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.
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 exper... weiter lesen
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.
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 exper... weiter lesen
Stellenreferenz: 182180
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.
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.
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 emb 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!
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.
- Discounted BMW & MINI conditions.
- Many other benefits at bmw.jobs/benefits
Start date: from now on
Type of employment: unlimited
Working hours: [[classificationTime]]
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).
Find out more about Artificial Intelligence at the BMW Group here .
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 .
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.
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.
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 emb 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!
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.
- Discounted BMW & MINI conditions.
- Many other benefits at bmw.jobs/benefits
Start date: from now on
Type of employment: unlimited
Working hours: [[classificationTime]]
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).
Find out more about Artificial Intelligence at the BMW Group here .
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 .
Ref-Nr.: 10380594
Aktualisiert:
12.04.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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