The roleYou will work on real ML and software engineering tasks across different stages of the ML lifecycle - not toy problems. Depending on your background, you may focus on data processing, model development, or supporting deployment workflows.What you'll doSupport development, training, and evaluation of machine learning modelsWork with data pipelines, experiments, and model iterationsHelp integrate ML models into larger software systemsTake ownership of well-scoped tasks and drive them to completionDocument your work and share learnings with the teamWhat you bringEnrolled in or recently completed BSc/MSc in Computer Science, ML, Data Science, Mathematics, or related fieldSolid Python fundamentalsUnderstanding of core ML concepts: classification, regression, model evaluationFamiliarity with generative AI concepts (Hugging Face Transformers, OpenAI API, or similar)Motivated to work independently on defined tasksFluent English (German is a plus)Nice to haveHands-on experience building ML models outside of courseworkExperience with PyTorch, TensorFlow, or scikit-learnWhat we offerRemote-first with full flexibility (CET ±2–3h)Mentorship directly with C-level leadersInvestment in your personal development and certificationsRegular team offsites and retreatsReal ownership on cutting-edge AI projects from day one

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Machine Learning Engineer Intern