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21Open Positions

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Intern Multimodal Agentic AI for In-car Voice Assistant (f/m/x)

BMW Group
Found 1 month ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Attractive & fair compensation
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • LLM
  • GenAI
  • Agentic AI
  • MCP
  • A2A
  • Agile development

Soft Skills

  • Fast learner
  • willingness to adapt
  • demonstrating fast learning and adaptability

Job Description

Our team at the BMW Group advances in-car AI at the intersection of academia and industry. You will collaborate with engineers and researchers to contribute to the future of automotive human-vehicle interaction using generative AI, building multimodal features for an intelligent personal voice assistant. What awaits you? * You will help to research, prototype, and deploy LLM and GenAI features for an in-car voice assistant. * Furthermore, you support building fast Python prototypes for multimodal interactions including speech, vision, and text in-vehicle with AI Agents. * In addition, you contribute to exploring practical in-car use cases such as dialogue, context awareness, and multimodal data. * Moreover, you will assist in testing, validation, and ensuring safety and compliance of automotive AI features. * You help to adopt new GenAI tools as needed demonstrating fast learning and adaptability.

Requirements

  • Studies in computer science, engineering, mathematics, physics, or a related field.
  • Solid programming knowledge in Python with proven experience building prototypes.
  • Experience in developing GenAI tools and apps with LLMs, including end-to-end prototyping and evaluation.
  • Agentic AI experience is a plus such as MCP, A2A, and familiarity with agent-based architectures.
  • Fast learner with willingness to adapt to new technologies and platforms.
  • Experience with Agile development including sprints, stand-ups, demos, and backlog management.
  • Good German and English skills.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • German
  • English

Nice to Haves

  • Agentic AI experience is a plus such as MCP, A2A, and familiarity with agent-based architectures.
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