Working Student Machine Learning (all genders)

avelios-medical· Engineering
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📍 MunichPartTime

About this role

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 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 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

Frequently Asked Questions

Is the salary disclosed for the Working Student Machine Learning (all genders) position at avelios-medical?
The salary for this Working Student Machine Learning (all genders) role at avelios-medical is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Working Student Machine Learning (all genders) position at avelios-medical located?
This Working Student Machine Learning (all genders) role at avelios-medical is based in Munich. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Working Student Machine Learning (all genders) role at avelios-medical full-time or part-time?
This is listed as a PartTime position. It is posted as a Working Student Machine Learning (all genders) role in the Engineering department at avelios-medical.
Which team or department does the Working Student Machine Learning (all genders) at avelios-medical belong to?
This Working Student Machine Learning (all genders) position is part of the Engineering department at avelios-medical. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Working Student Machine Learning (all genders) position at avelios-medical?
Click the "Apply Now" button on this page. You will be redirected to avelios-medical's official application portal hosted on ashby where you can submit your application directly.
When was the Working Student Machine Learning (all genders) job at avelios-medical posted?
This Working Student Machine Learning (all genders) position at avelios-medical was posted on Mar 12, 2026. Apply as soon as possible — early applications are often reviewed first.
Working Student Machine Learning (all genders)
avelios-medical
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