Working Student Machine Learning (all genders)
Role details
Job location
Tech stack
Job description
As a Working Student Machine Learning (all genders), you will support to drive the integration of intelligent systems into real-world clinical environments. Collaborating with our interdisciplinary development and research teams, your role will focus on building and deploying machine learning models at scale - with direct access to large medical datasets, top research institutions, and high-performance computing infrastructure. This is a unique opportunity to shape how AI transforms everyday medical workflows., * Collaborate with our core development team to bring machine learning into production
- Support design and train ML models on large-scale clinical datasets
- Support Integrate AI-powered solutions into medical workflows
- Work with Federated Machine Learning frameworks for privacy-preserving model training
- Leverage access to high-performance computing infrastructure to build robust ML pipelines
Requirements
- Degree in Informatics, Computer Science, or a related field - or equivalent practical experience
- Hands-on experience with PyTorch, TensorFlow, or Keras
- Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g., Computer Vision or NLP)
- Strong coding background - GitHub contributions are a plus
- Interest in new technologies and their application to real-world challenges
- Fluency in German and English
Benefits & conditions
- 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