Machine Learning Engineer (all genders)

Your Qualifications

• 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

Your Benefits

• A deep understanding of our technologies and proficiency in our modern & relevant tech stack
• Ability to gain valuable hands-on experience in a startup backed by leading international VCs
• High flexibility, variety in your tasks and theopportunity to take ownership
• Motivating work environment with a diverse team that enjoys working together
• Many perks & benefits as well as a great office in the heart of Munich
• A competitive salary plus a virtual stock option package

About us

Our mission at Avelios is to build the leading software platform for the data-driven digitization of hospitals and 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.

The Team and Role

As a(Senior) Machine Learning Engineer (all genders) , you will 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.

Your Responsibilities

• 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

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