Research Engineer, Applied AI

As a research engineer you will work on improving kapa’s ability to answer harder and harder technical questions. Check out Docker’s documentation for a live example of what kapa is.

In this role, you will:

• Work directly with the founding team and our software engineers.
• Work on and do research in state-of-the-art retrieval and search techniques.
• Work on and deploy machine learning models as part of RAG.
• Continuously improve our quality evaluation frameworks to enable robust iteration.
• Keep up with the latest developments in the space and see how they can be applied.
• Design and run experiments.

In addition to the founding team, you'll have support from a number of leading academics in the field that are all close advisors (incl. Douwe Kiela, author of the original RAG paper).

You may be a good fit if you have:

• A Master's/  PhD degree in Computer Science, Machine Learning, Mathematics, Statistics or a related field.
• A detailed understanding of machine learning, deep learning (including LLMs) and natural language processing.
• Hands-on experience in training, fine-tuning and deploying large language models.
• Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases.
• Significant experience building evaluation systems for LLMs or search.
• Familiarity with various information retrieval techniques, such as lexical search and dense vector search.
• The ability to work effectively in a fast in a environment where things are sometimes loosely defined.
• Want to learn more about machine learning research.

* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to kapa.ai, please reach out.