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Intern Multimodal Agentic AI for In-car Voice Assistant(m/w/x)
Building and deploying generative AI features for automotive HMI. Agentic AI experience (MCP, A2A, agent-based architectures) a plus. Student apartments available.
Requirements
- Studies in computer science, engineering, mathematics, physics, or related field
- Solid Python programming knowledge and prototyping experience
- Experience developing GenAI tools/apps with LLMs, prototyping, evaluation
- Agentic AI experience (MCP, A2A, agent-based architectures) (plus)
- Fast learner, willingness to adapt to new technologies/platforms
- Experience with Agile development (sprints, stand-ups, demos, backlog)
- Good German and English skills
Tasks
- Collaborate with engineers and researchers
- Build multimodal features for voice assistants
- Research LLM and GenAI features for voice assistants
- Prototype LLM and GenAI features for voice assistants
- Deploy LLM and GenAI features for voice assistants
- Build fast Python prototypes for multimodal interactions
- Develop multimodal interactions using speech, vision, text
- Explore practical in-car use cases
- Investigate dialogue, context awareness, and multimodal data
- Test automotive AI features
- Validate automotive AI features
- Ensure safety and compliance of automotive AI features
- Adopt new GenAI tools as needed
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- GenAI
- LLMs
- MCP
- A2A
- Agile
Benefits
Flexible Working
- Flexible working hours
- Mobile work
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Learning & Development
- Personal and professional development
Other Benefits
- Student apartments
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Intern Multimodal Agentic AI for In-car Voice Assistant(m/w/x)
Building and deploying generative AI features for automotive HMI. Agentic AI experience (MCP, A2A, agent-based architectures) a plus. Student apartments available.
Requirements
- Studies in computer science, engineering, mathematics, physics, or related field
- Solid Python programming knowledge and prototyping experience
- Experience developing GenAI tools/apps with LLMs, prototyping, evaluation
- Agentic AI experience (MCP, A2A, agent-based architectures) (plus)
- Fast learner, willingness to adapt to new technologies/platforms
- Experience with Agile development (sprints, stand-ups, demos, backlog)
- Good German and English skills
Tasks
- Collaborate with engineers and researchers
- Build multimodal features for voice assistants
- Research LLM and GenAI features for voice assistants
- Prototype LLM and GenAI features for voice assistants
- Deploy LLM and GenAI features for voice assistants
- Build fast Python prototypes for multimodal interactions
- Develop multimodal interactions using speech, vision, text
- Explore practical in-car use cases
- Investigate dialogue, context awareness, and multimodal data
- Test automotive AI features
- Validate automotive AI features
- Ensure safety and compliance of automotive AI features
- Adopt new GenAI tools as needed
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- GenAI
- LLMs
- MCP
- A2A
- Agile
Benefits
Flexible Working
- Flexible working hours
- Mobile work
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Learning & Development
- Personal and professional development
Other Benefits
- Student apartments
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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