Working Student

vor 1 Tag

München, Deutschland ImFusion GmbH Vollzeit

**Your mission**:
The intern will focus on the following tasks:

- Define Python-based workflows to analyze, detect and correct problems in existing datasets
- Create reports on the quality of the data and evaluate current models
- Think creatively on how to enhance and automate the labeling process and the integration of new datasets
- Contribute to improving the machine learning models in our Spine plugin that is used in actual medical devices

This internship is a paid position and will take place in our main offices (Munich, Germany).

Join us to contribute to groundbreaking research in medical imaging, and work in an internationally renowned research and development company

**Your profile**:

- Student in an engineering school or relevant master program
- Proficiency in Python, C++ is a plus
- Experience in deep learning frameworks is a plus
- Ability to work independently and care about details
- Motivation to contribute to the medical imaging field
- Proficiency in English (no German required)

**Why us?**:

- Be part of an international, dynamic and highly skilled team where you can both make an impact and continue to learn
- Live our company values and do good for society by seeing your work contribute to actual medical products that improve patients’ lives
- Contribute to cutting edge research with the opportunity to publish successful findings
- Enjoy the agility of a start up paired with the safety of a grown company
- Benefit from flexible working hours and an option for home office

**About us**:
ImFusion GmbH is a growing company located in Munich, conducting research, development and consulting in advanced medical image computing technologies and computer vision. Our customers include small and large medical device companies as well as academic research labs. We wish to expand our team with talented and motivated people.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.

You think you can be a good fit? We'd love to hear from you

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