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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

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

  • EnglishBusiness 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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