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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

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Intern AI Agents and Synthetic Data for ADAS (f/m/x)

BMW Group
Found 3 days ago
Location
Munich, Germany
Time
Full-time
Work Mode
On-site
Salary
Attractive & fair compensation
Visa Help
Not disclosed
Last Verified
3 days ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • AI agents
  • agent-based systems
  • orchestration tools such as n8n
  • synthetic data generation
  • Machine Learning fundamentals
  • Large Language Models
  • prompt engineering
  • ADAS
  • automated driving
  • perception systems
  • mobility technologies

Soft Skills

  • Share your passion
  • Bring your own ideas to the table
  • Show what you can do
  • Enthusiastic about new technologies
  • Innovative environment

Job Description

Within ADAS pre-development, we design and evaluate next-generation intelligent driving functions using data-driven and automation-focused approaches. Our team focuses on scalable AI architectures, robust data strategies, and systematic competitive benchmarking for cutting-edge driver assistance systems and automated driving functions. What awaits you? * You will support the design of AI agents for structured benchmarking of ADAS functions, including feature comparison, functional analysis, and competitive evaluation. * Furthermore, you help develop agent-based workflows for automated information retrieval, structuring, and evaluation leveraging Large Language Models and orchestration tools such as n8n. * In addition, you contribute to the development of synthetic data pipelines for generating relevant training and validation scenarios for automated driving functions. * Moreover, you assist in building and extending Python-based data processing and analysis pipelines for structured and unstructured datasets. * You will also help with the integration of AI-driven solutions into existing development, simulation, or cloud environments.

Requirements

  • Studies in Computer Science, Artificial Intelligence, Data Science, Robotics, Automotive Engineering, or a comparable field.
  • Proficiency in Python, including experience building structured software components or data pipelines.
  • Practical experience with AI agents or agent-based systems, ideally using orchestration tools such as n8n or similar frameworks.
  • Initial experience with synthetic data generation for machine learning training, simulation, or scenario generation.
  • Understanding of Machine Learning fundamentals, Large Language Models, or prompt engineering concepts.
  • Interest in ADAS, automated driving, perception systems, or mobility technologies.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • German
  • English
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