BMW Group
Master Thesis Vision Language Action Models with Memory(m/w/x)
Full-timeInternshipWith Homeoffice
München
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BMBMW Group
Master Thesis Vision Language Action Models with Memory(m/w/x)
München
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Researching memory integration for automated driving prototypes at automotive manufacturer with 140,000+ employees. Proficiency in Python and deep learning frameworks required. Comprehensive mentoring program, mobile working options.
Requirements
- Thesis supervision by a university
- Knowledge in machine learning and computer vision
- Knowledge in VLM and/or VLA models
- Experience in memory for language models preferred
- Proficiency with Python and deep learning frameworks
Tasks
- Research memory usage in LLM, VLM, and VLA models
- Explore memory approaches for automated driving applications
- Evaluate learning and non-learning based memory approaches
- Develop novel techniques based on state-of-the-art research
- Deploy memory models in prototypes for real-world testing
- Utilize models for reasoning and task execution
- Complete a master's thesis on Vision Language Action models
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Vision Language Models (VLM)
- Vision Language Action Models (VLA)
Benefits
Flexible Working
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
- Personal and professional development
- Apartment offers for students
Competitive Pay
- Attractive remuneration
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BMBMW Group
Master Thesis Vision Language Action Models with Memory(m/w/x)
München
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Researching memory integration for automated driving prototypes at automotive manufacturer with 140,000+ employees. Proficiency in Python and deep learning frameworks required. Comprehensive mentoring program, mobile working options.
Requirements
- Thesis supervision by a university
- Knowledge in machine learning and computer vision
- Knowledge in VLM and/or VLA models
- Experience in memory for language models preferred
- Proficiency with Python and deep learning frameworks
Tasks
- Research memory usage in LLM, VLM, and VLA models
- Explore memory approaches for automated driving applications
- Evaluate learning and non-learning based memory approaches
- Develop novel techniques based on state-of-the-art research
- Deploy memory models in prototypes for real-world testing
- Utilize models for reasoning and task execution
- Complete a master's thesis on Vision Language Action models
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Vision Language Models (VLM)
- Vision Language Action Models (VLA)
Benefits
Flexible Working
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
- Personal and professional development
- Apartment offers for students
Competitive Pay
- Attractive remuneration
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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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