AI Internship / Working Student
TLDR
Contribute to developing, testing, and evaluating ML models and help design AI testing frameworks alongside senior data scientists.
Resaro was founded on the belief that AI will change the world in ways we cannot even imagine, but every new technology needs safeguards to advance.
We are looking for Interns or Working Students
to join us in our Munich office.
This role is ideal for someone who has some exposure to Programming and LLM/or Computer Vision models. You should have strong interests in learning how to evaluate and test mission critical AI systems in production settings.
Your Role:
- Assist in developing, testing, and evaluating machine learning models.
- Perform data preprocessing, analysis, and feature engineering to prepare datasets for model training and testing.
- Work closely with senior data scientists and AI engineers to design testing frameworks for AI.
Who you are:
- Currently pursuing a Bachelor’s or Masters degree in Computer Science, AI, Data Science, Machine Learning, or a related field.
- Some programming skills in Python.
- Familiarity with version control (Git) and unit testing frameworks (e.g., pytest).
- Passion for working with data, models, and AI systems.
- Think from first principles and want to tackle the most challenging technical problems from a multi-disciplinary approach e.g., design, engineering and social science.
- Thrive in a fast-paced environment.
- Navigate uncertainty by being willing to explore, while remaining laser focused on the mission at hand.
Why This Role?
You’ll help make sure our platform isn’t just powerful - it’s AI-native, usable by practitioners, and capable of handling the next generation of AI testing at scale.
Resaro AI builds advanced software solutions for testing and evaluating artificial intelligence systems, ensuring they are robust, secure, and trustworthy. We serve clients in high-stakes sectors like government and military, deploying embedded teams that work closely with organizations to tailor AI performance validation to their specific needs.