AI Research Engineer
AI research engineers support our team by writing production-ready implementations of papers, testing and benchmarking algorithms and building software to solve shared problems.

The appliedAI Institute advances Europe by creating and disseminating expertise in Artificial Intelligence. We are Europe’s largest initiative for the application of cutting-edge trustworthy AI, leveraging Europe’s innovative power through education, research, and publications. We aim to be a fully transparent, open-source organisation, where everyone is invited to participate, discuss, and to engage with AI. As a non-profit, we create visions for Europe as a society, for us in a world of climate change and for our economy in the age of AI. We want to contribute to sustainable wealth through technology, to shape a world we want to live in.

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.

Position overview

As an AI Research Engineer, you will collaborate with and support different teams by:

  • Contribute to research projects by designing software that allows for quick experimentation and rigorous evaluation of research ideas
  • Create and deploy GenAI Applications (from RAG to agentic systems) for internal or external use
  • Support the creation of training materials and demos on GenAI, Machine Learning and Software Engineering
  • Contribute to open-source Python packages
  • Participate in hackathons and other events to solve challenges and stay engaged with the AI/ML community
  • Implement software solutions for common problems across projects

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

It would be 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

What we offer

  • A remote-first setting, but also offices in Munich and Heilbronn, and regular trips to meet each other there.
  • A highly motivated team and dynamic environment, full of people who want to and can make an impact on Europe’s AI landscape.
  • A multilingual and multinational organization gathering researchers, engineers, educational experts and strategists from all possible backgrounds.
  • An atmosphere that encourages to think and experiment in new ways with software, hardware, and processes
  • Hottest topics of the next decade and freedom and trust to initiate own activities
  • A highly visible initiative that helps you build a large and high-level network of start-ups, partners, and tech companies
  • Budget to visit important conferences, read up on papers and develop your skills with the team—potentially showcasing results at e.g., ICML, ICLR, and NeurIPS
  • Egym wellpass (qualitrain) membership, regular team events, public transport subsidy, etc.
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