Thesis in the Field of GenAI, LLMs, and Artificial Intelligence starting March/April 2025

Mercedes-Benz AG

Job Description
Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.

Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.

Job-ID: MER0003GWY

Internship or Thesis in the Field of GenAI, LLMs, and Artificial Intelligence

We bring innovation and technology together - with enthusiasm and passion! Our department develops cutting-edge AI solutions, utilizing the most advanced technological and scientific methods to achieve outstanding performance in the field of generative artificial intelligence. If you are passionate about changing the world of AI and gaining deep insights into the functioning of LLMs and other AI technologies, then you are exactly right with us!

What we offer:

  • A dynamic work environment that promotes innovation and creativity
  • The opportunity to contribute to highly topical projects in the field of GenAI and LLMs
  • Flexible working hours that can be coordinated with your studies
  • An appropriate remuneration for your valuable work
  • The chance to deepen and apply your knowledge in Python, Docker, and UX
  • Collaboration with a highly motivated, friendly, and interdisciplinary team

Your tasks:

  • Development and implementation of algorithms and models in the field of GenAI, especially LLMs
  • Conducting experiments to validate and optimize models
  • Support in the development and improvement of UX designs for AI applications
  • Integration of models and applications using Docker containerization techniques
  • Data analysis and preparation to optimize training data for AI models

The final thesis selection is made in close consultation with you, the university and us.


Qualifications

  • You are studying computer science, mathematics, physics, or a comparable field
  • Proficiency in Python and ideally experience with large and local language models
  • Experience with Docker and knowledge in user experience design (UX)
  • Basic knowledge in the field of data and semantic modeling is an advantage
  • Very good German and/or English skills, both written and spoken
  • Enthusiasm for working with data and artificial intelligence
  • Team player, initiative, and a creative approach

Personal skills:

  • Strong communication skills with social and conflict resolution competence
  • High level of initiative and creativity
  • Ability to structure complex issues and problems
  • Pronounced team skills and commitment

  • Meal-Discounts
  • Mobile Phone possible
  • Discounts for employees possible
  • Annual profit share possible
  • Events for employees
  • Coaching
  • Flexitime possible
  • Hybrid Work possible
  • Health Benefits
  • Company Retirement
  • Mobility offers
  • Barrier-free workplace
  • Good public transport
  • Parking
  • Near-site Childcare
  • Inhouse Doctor
  • Canteen, Café
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