100,000.00 USD/yr - 150,000.00 USD/yr

Kapa makes technical knowledge instantly accessible through AI assistants. As a research engineer, you will work on improving Kapa’s ability to answer harder technical questions. Check out Docker’s documentation ( ) for a live example of what Kapa is (look for the “Ask AI” button).

The Following Challenges Should Excite You

- Evaluating a RAG system in production without labelled data.
- Creating your own benchmark from scratch.
- Building an agentic retrieval system that can judge when to be fast and when to take more time.
- Fine-tuning embeddings or re-rank models.

To Solve These Challenges You Will

- Work directly with the founding team and our software engineers.
- Keep up with the latest developments in the space and see how they can be applied.
- Design and run experiments.

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.
- 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-paced 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.

#J-18808-Ljbffr

📌 Research Engineer, Applied Ai (Italia)
🏢 kapa.ai
📍 Italia