Skip to content
BMW Group logo
New

Intern AI-based Memory and Context Engineering (f/m/x)

BMW Group2 days agoInternship
HybridEnglish requiredTechAI, ML & Data Science

Required skills

SQLAWSMachine LearningContext EngineeringLarge Language Models (LLMs)API DeploymentGraphQLPython

Job description

BMW Group published this listing. We've added our own working-student context below — what this role means for your weekly hours, take-home pay and student visa as a student in Munich, Germany.

Need a CV for this?Build your CV with resume.io

Description provided by BMW Group

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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 research team at the BMW Group is dedicated to advancing intelligent mobility and shaping the future of personalized context and AI-based context engineering. Here, you will support innovative projects that redefine the customer's driving experience through large language model applications.

What awaits you?

  • You will support building and optimizing the AI-based memory management system of the BMW intelligent personal assistant.
  • Furthermore, you help to integrate existing models and train new machine learning models for personalized context in LLM-driven applications.
  • In addition, you contribute to leveraging user information to deliver tailored conversational experiences and recommendations.
  • Moreover, you will assist in designing and implementing A2A, MCP, and agentic systems using various data sources.


What should you bring along?

  • Studies in computer science, data science, engineering or a related field.
  • Strong interest in artificial intelligence, machine learning, context-aware computing, and automotive technologies.
  • Proficiency in Python for data processing, model integration, prototyping, and API deployment.
  • Hands-on experience or strong interest in AWS cloud services, including IAM Management, Bedrock, EC2, S3, and related tools.
  • Familiarity with querying languages such as SQL and GraphQL and working with heterogeneous data formats.
  • Excellent communication skills and ability to thrive in a collaborative, interdisciplinary team environment.
  • Good English skills.


Would you like to support our research team in shaping the future of intelligent mobility and AI-based context engineering? Then Apply now!

What do we offer?

  • Comprehensive mentoring & onboarding.
  • Personal & professional development.
  • Flexible working hours.
  • Mobile work.
  • Attractive & fair compensation.
  • Student apartments (subject to availability & only at the Munich location).
  • And much more, see bmw.jobs/whatweoffer


Start date: earliest start 01.06.2026

Duration: 6 months

Working hours: Full-time

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.

Intern AI-based Memory and Context Engineering (f/m/x)

Working student essentials

What this Tech internship in Munich means for you — pay rules, social contributions, and what international students should check before applying.

Weekly hours

Internships have no 20-hour cap, but a voluntary internship longer than three months generally has to pay at least the German minimum wage. Mandatory internships in your study programme are exempt.

Working student rules

Social contributions

Mandatory internships are largely exempt from social contributions. Voluntary internships are treated like regular employment once they run long enough, so contributions usually apply.

Check your insurance

International students

Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.

Studying in Germany

Frequently asked questions

More at BMW Group

See all jobs at BMW Group

Similar jobs