GermanyScholarships
Menu

2026 BMW Intern in AI and Machine Learning for Code Search and Log Analysis

 During your internship, you will gain valuable insights into innovative solutions for code search and log analysis.

What awaits you?

  • You will support investigating state-of-the-art AI and machine learning techniques for code search and log analysis.
  • Furthermore, you help to develop and fine-tune models for semantic code understanding and event summarization from complex logs.
  • In addition, you contribute to implementing prototypes integrated with Android Automotive development tools and workflows.
  • Furthermore, you will assist in evaluating model performance and its impact on development efficiency and software quality.
  • You will collaborate with internal engineering teams to align research with practical requirements.
  • Furthermore, you help to document thesis findings and present results to stakeholders.

Table of Content

Summary

  • Application DeadlineNot Specified
  • Study LevelInternship
  • SponsorBMW Group
  • Eligible CountryAll Countries
Subscribe for Scholarship Alert!

Benefits

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

Start date: 01/01/2026

Requirements

  • Studies in computer science, artificial intelligence, data science or a related field.
  • Strong foundation in machine learning, natural language processing and software engineering.
  • Programming skills in Python, additional skills in Java, Kotlin or C++ are a plus.
  • Interest or experience in automotive software or Android development is a plus.
  • Analytical mindset and passion for research and innovation.
  • Good English skills, German is a plus.

Application Deadline

Not Specified

How To Apply

Are you qualified and interested in this opportunity? Kindly go to BMW Group on career5.successfactors.eu to apply

For more information, kindly visit BMW Group webpage.

Join us on WhatsApp, Telegram, Twitter, Facebook, LinkedIn for scholarship updates
Share

A friend or someone might be interested in this opportunity, kindly share.

Subscribe for scholarship alert!