Avelios Medical
Avelios Medical

Intern Machine Learning (all genders)

TLDR

Build and deploy machine learning solutions at scale in real-world clinical workflows.

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 Intern 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 solutions at scale. You will have 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

  • Support the integration of AI-powered solutions into medical workflows

  • Research state-of-the-art AI solutions for healthcare problems and adapt them to our needs

  • 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, especially in Python — GitHub contributions are a plus

  • Hands-on experience with PyTorch, HuggingFace, LangChain, or other leading ML frameworks

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

  • Interest in new technologies and their application to real-world challenges

  • Fluency in German and English

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

Benefits

Flexible Work Hours

Flexible working hours

Learning Budget

Ability to gain valuable hands-on experience in a startup backed by leading international VCs

Ownership opportunities

Variety in your tasks and the opportunity to take ownership

Paid Time Off

High chances to transition into a full-time role if the collaboration is successful

Remote-Friendly

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

Wellness Stipend

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

Avelios Medical develops a modular software platform designed to unlock clinical data and enhance healthcare operations. Our user-friendly technology streamlines workflows for hospitals, empowering doctors and nurses to deliver superior patient care. We’re on a rapid growth path, dedicated to transforming healthcare through digitization.

Founded
Founded 2020
Employees
51-200 employees
Industry
computer software
Total raised
$33M raised
Last funding
Raised May 2026
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