Machine Learning Engineer

• Collaborate with our core development team to bring machine learning into production
• Design and train ML models on large-scale clinical datasets
• Integrate AI-powered solutions into medical workflows
• Work with Federated Machine Learning frameworks for privacy-preserving model training
• Collaborate with leading academic and research institutions
• Leverage access to high-performance computing infrastructure to build robust ML pipelines, * Variety in your tasks and the opportunity to take ownership
• 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
• Support for your personal development through continuous learning and feedback
• Set your own rhythm with flexible working hours and trust-based time tracking
• A virtual stock option package (VSOP) that lets you participate in Avelios’ long-term value creation
• A monthly meal allowance up to 75 euros, full coverage of the Deutschlandticket, Urban Sports Club or a subsidized Wellpass membership, a bike leasing program and Corporate Benefits that give you access to discounts from a wide range of providers in various areas

• Degree in Informatics, Computer Science, or a related field - or equivalent practical experience
• Strong coding background - GitHub contributions are a plus
• Hands-on experience in ML frameworks (e.g., PyTorch, scikit-learn, LangChain), working with LLM’s and ASR Models
• Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g., Speech Recognition or NLP) is a plus
• Interest in new technologies and their application to real-world challenges
• Fluency in English, German is a plus

Our mission at Avelios is to unlock clinical data to power seamless healthcare operations for better patient care. To do so, we have built a modular software platform that digitizes and optimizes workflows in hospitals with cutting-edge technology in a user-friendly way. With our software, we enable hospitals, doctors & nurses to provide their patients with the best possible care. We are growing fast and want to keep expanding our team and business to fundamentally digitize healthcare for the better. We appreciate different backgrounds and see diversity as one of our strengths.