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Master's Thesis in Generative AI Benchmarking

vor 3 Monaten


Munich, Bayern, Deutschland BMW Group Vollzeit

EMBARK ON A JOURNEY OF INNOVATION.

FUEL YOUR CURIOSITY.

In an era defined by digital transformation, robotics, and artificial intelligence, we at BMW Group are at the forefront of technological advancement. What may seem unattainable becomes achievable through rigorous research and development. Our commitment to excellence means that cutting-edge technologies undergo a meticulous evaluation process before they are integrated into our vehicles. Join our dynamic team of experts who will welcome you as a valued member from the outset, encouraging you to contribute your innovative ideas and showcasing your capabilities.

We invite you to explore an engaging Master's thesis opportunity focused on Benchmarking Generative AI. Collaborate with us to turn theoretical concepts into practical applications within the realms of machine learning, computer vision, natural language processing, and human interaction. Our team of seasoned AI developers is eager to integrate a Master's thesis student into this fast-evolving domain that lies at the intersection of AI, Generative AI, linguistics, and computer science.

What can you expect?

  • As a Master's thesis candidate, you will engage in a groundbreaking project that merges Generative AI, machine learning, natural language processing, and computer vision. Your research will aim to devise sophisticated benchmarking algorithms to assess the performance of Generative AI systems, particularly in the context of in-car human-machine interaction.
  • You will be responsible for developing advanced algorithms and applications, emphasizing the automation of human evaluation and testing processes related to in-car human-machine interaction.

What qualifications should you possess?

  • A Bachelor's degree in electrical engineering, computer science, mathematics, physics, engineering, computational linguistics, or a related field.
  • Proficient programming skills in Python 3, along with substantial experience in TensorFlow or PyTorch, Sklearn, Docker, Spacy, and OpenCV.
  • Practical understanding of deep learning techniques and frameworks, particularly in natural language processing and/or computer vision.
  • Proficiency in business English; knowledge of German is advantageous.

What do we provide?

  • Comprehensive mentoring and onboarding experience.
  • Opportunities for personal and professional growth.
  • Flexible working arrangements.
  • Digital resources and options for remote work.
  • Competitive compensation.
  • Housing assistance for students (subject to availability).
  • Additional benefits and perks.

If you thrive in an international team environment, we encourage you to consider this opportunity.

At BMW Group, we celebrate diversity and inclusion in all forms, recognizing it as a strength that enhances our teams. We are committed to equal opportunities, ensuring that our recruitment processes focus on personality, experience, and skills.

Discover more about our commitment to diversity at BMW Group.