Working Student Machine Learning (all genders)

THE TEAM AND ROLE

As a Working Student Machine Learning (all genders), you will support the integration of intelligent systems into real-world clinical environments. Collaborating with our interdisciplinary development teams, your role will focus on contributing to bringing state-of-the-art models (LLMs, ASR, and more) into production and embedding them directly into Avelios software to improve everyday medical workflows. This is a unique opportunity to shape how AI transforms the way clinicians work.

YOUR RESPONSIBILITIES

• Collaborate with our core development team to bring machine learning into production
• Support the design and training of ML models on large-scale clinical datasets
• Assist with the integration of AI-powered solutions (LLMs, ASR, RAG, Embeddings, and more) into real medical workflows
• Support the evaluation, benchmarking, and fine-tuning of existing models for clinical use cases
• Explore Federated Machine Learning frameworks for privacy-preserving model training
• Collaborate with leading academic and research institutions
• Contribute to the reliability, performance, and quality of AI features in production
• Leverage access to high-performance computing infrastructure to build robust ML pipelines

YOUR QUALIFICATIONS

• Currently enrolled in Informatics, Computer Science, or a related field
• Strong coding background, especially in Python
• Exposure to ML frameworks such as PyTorch, HuggingFace, LangChain, or Pydantic, including LLMs, ASR models, or RAG pipelines with vector databases (e.g. Qdrant)
• Genuine interest in new technologies and their application to real-world challenges
• Fluency in English, German is a plus

NICE TO HAVE

• GitHub contributions
• Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g. Speech Recognition or NLP)

YOUR BENEFITS

• Variety in your tasks and the opportunity to take ownership
• Flexible working hours
• Support for your personal development through continuous learning and feedback and high chances to transition into a full-time role if the collaboration is successful
• An international, informal team structure in a motivating start-up atmosphere, allowing you to participate directly in our customer growth story and the overall success of Avelios
• Ability to gain valuable hands-on experience in a startup backed by leading international VCs
• A monthly meal allowance up to 75 euros, and Corporate Benefits that give you access to discounts from a wide range of providers in various areas