ABOUT US

AI is a powerful technology reshaping society, but it also presents complex challenges. The appliedAI Institute for Europe stands for Trustworthy AI by focusing on fairness, transparency, and accountability to ensure AI driven innovation while respecting ethical standards. As a central harbour in the European AI ecosystem, we provide knowledge, resources, and connections to empower stakeholders in responsibly developing and applying AI technologies. Our impact is measured through the strategic roles we fulfill like agenda setting, knowledge brokering, enabling, scouting, experimenting, tool providing and network building. Over the past year, we have contributed through policy insights, compliance tools, educational programs, and open-source solutions. We actively foster collaboration, host events, and support AI startups to strengthen the ecosystem. The appliedAI Institute for Europe plays a crucial role in shaping the future of AI in Europe.
The TransferLab aims to identify, test and disseminate established and emerging techniques in machine learning in order to provide practitioners and businesses with the best tools for their applications. We constantly survey multiple fields in AI/ML with the goal of distilling useful knowledge for practitioners in industry and academia. Research at the TransferLab is not measured in publications or conference appearances but by its long-term impact on the people and companies applying machine learning. Our work is not done when the paper is published, but when we have created software, trainings, and other resources that help practitioners to benefit from it.

YOUR PROFILE

We are seeking someone with solid programming skills and genuine interest in AI/ML concepts. You should be eager to learn and implement recent developments while developing your code quality standards and being open about what you don’t know. In addition to your passion for software engineering, you should have curiosity about AI/ML research and interest in contributing to the broader practitioner community. We welcome unusual profiles and career paths, but we find that people who can take on this role tick most of the following boxes:

• Master’s degree in Computer Science, Mathematics, Statistics, Physics, or related technical field, or Bachelor’s degree with at least 2 years of experience in professional software engineering
• Experience contributing to open-source projects. We value anything from your personal ML Project to contributions in large established libraries.
• Experience creating and deploying Machine Learning, Data Science or generative AI Projects
• Solid foundation in Python programming and professional software development principles (e.g. unit testing, code reviews, version control)
• Team player with curiosity and eagerness to grow in AI/ML engineering, good problem solving skills, and a drive for excellence

Advantageous to have:

• Expert knowledge in Machine Learning, Statistics and Numerical Methods
• Experience in writing on technical topics for a general audience (e.g., blog posts, magazine articles)
• Experience in teaching or creating teaching materials
• Experience in creating and deploying production ready generative AI solutions, including RAG and Agentic Systems in Python

ABOUT US

Find out more on https://www.appliedai.de/ and https://www.appliedai-institute.de

• Master’s degree in Computer Science, Mathematics, Statistics, Physics, or related technical field, or Bachelor’s degree with at least 2 years of experience in professional software engineering
• Experience contributing to open-source projects. We value anything from your personal ML Project to contributions in large established libraries.
• Experience creating and deploying Machine Learning, Data Science or generative AI Projects
• Solid foundation in Python programming and professional software development principles (e.g. unit testing, code reviews, version control)
• Team player with curiosity and eagerness to grow in AI/ML engineering, good problem solving skills, and a drive for excellenc