Working Student - Machine Learning

You won't be on your own - we work closely together, share ideas, and help each other out. Mentorship and guidance are always available, and the focus is on exploring, experimenting, and turning ideas into something that works in practice. If things click, there's a chance this could lead to a longer-term role, but for now, it's about learning, collaborating, and building together.

Your profile

We're not looking for a long list of skills. If you've spent some time with Python and are curious about how machine learning systems are built and used, that's a great start. What matters most is that you enjoy learning and collaborating with others.

If you've worked on any AI-related projects - at university or on your own - we'd love to see them. A GitHub link is perfect, but a ZIP file works too.

Why us?

This role gives you a chance to build a complete AI system that people will actually use. That experience is rare at this stage, and it's a great way to grow your skills, understanding, and confidence. You'll be part of a team that's learning, exploring, and building together - not just following instructions.

• Remote work within Germany
• We sponsore part of your Deutschlandticket

Do you have experience in Python?

Data Space Solutions GmbH is committed to developing and providing digital applications that enable circular business models, fostering sustainable economic practices. We focus on enhancing data sovereignty and interoperability in line with EU regulations, specifically targeting the value chains in the automotive and chemical industries. By leveraging trusted digital ecosystems like Catena-X, we aim to drive innovation, sustainability, and efficiency within these critical sectors., We're DASS-X, a 100% BASF subsidiary working in the automotive and chemical industries, and we're looking for one working student to join our machine learning team. We're a culturally diverse group, and English is our working language. Our team is curious, collaborative, and enjoys exploring new ideas - we like to learn from each other and have fun while building things that actually matter.