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Avelios Medical

Machine Learning Engineer (all genders)

Munich

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hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
DE
Work mode
On-site / unstated
First seen by hirly
2 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

ABOUT US

  • 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.

THE TEAM AND ROLE

As a Machine Learning Engineer (all genders) , you will drive the integration of intelligent systems into real-world clinical environments. Collaborating with our interdisciplinary development teams, your role will focus on 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

Design and train ML models on large-scale clinical datasets

Integrate AI-powered solutions (LLMs, ASR, RAG, Embedding, and more in the future) into real medical workflows

Evaluate, benchmark, and fine-tune existing models to fit clinical use cases

Work with Federated Machine Learning frameworks for privacy-preserving model training

Collaborate with leading academic and research institutions

Own the reliability, performance, and quality of AI features in production

Leverage access to high-performance computing infrastructure to build robust ML pipelines

YOUR QUALIFICATIONS

Degree in Informatics, Computer Science, or a related field - or equivalent practical experience

Strong coding background - GitHub contributions are a plus

Hands-on experience deploying ML systems to production using PyTorch, LangChain, and Pydantic, including LLMs, ASR models, and RAG pipelines with vector databases (e.g., Qdrant).

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

YOUR BENEFITS

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

Original posting on Avelios Medical's site ↗

Listed on hirly, a job board. hirly is not the employer: Avelios Medical is hiring for this role.

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