Das könntest du laut kununu User:innen als Bildungsmanager:in in Deutschland verdienen
It’s time to reshape automotive mobility for everyone!
At CARIAD, we have the mission to create and deliver leading digital technology for the Volkswagen Group. We’re uniting over 6,000 global experts to build powerful software architectures that enable completely new customer experiences.
Iconic models like the Volkswagen ID. Buzz, Audi Q6 e-tron, and Porsche Macan 4 Electric are already equipped with CARIAD technology.
Join us at CARIAD and become part of an exciting journey to shape the future of mobility!
YOUR TEAM
We offer you an exciting opportunity for your master thesis in our AI team in the field of automotive interiors. For the following topic you get the responsibility: Collaborate with Generative AI specialists to assist in the development of AI-powered mobility solutions. The goal of this master thesis is create AI-based methodologies aimed at enhancing and innovating the user experience within vehicles.
If you are passionate about developing AI technologies that improve in-car user experiences, we invite you to join us in advancing the future of mobility.
WHAT YOU WILL DO
- Research and development for fine-tuning of open-source small language models (SLMs)
- Methodologies and building pipelines for generating high-quality synthetic Data for training SLMs
- Establishing an evaluation framework to assess the performance of finetuned SLMs.
WHO YOU ARE
- Enrolled student in the field of Computer Science, Electrical Engineering, or equivalent field (please specify the expected date of your graduation or end of enrollment).
- Background in machine learning and proficiency in Python
- Foundational understanding of large language models (LLMs)
- Team-oriented, growth-minded, goal-focused, and communicative
- Fluent in English
NICE TO KNOW
- Remote work options within Germany
- Duration: 3 to 6 month; 35-hour weeks
- If you have further questions about the candidate journey at CARIAD, please contuct us: careers@cariad.technology