pp100,000.00 USD/yr - 150,000.00 USD/yr /ppKapa 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). /ppbThe Following Challenges Should Excite You /b /pulliEvaluating a RAG system in production without labelled data. /liliCreating your own benchmark from scratch. /liliBuilding an agentic retrieval system that can judge when to be fast and when to take more time. /liliFine-tuning embeddings or re-rank models. /li /ulpbTo Solve These Challenges You Will /b /pulliWork directly with the founding team and our software engineers. /liliKeep up with the latest developments in the space and see how they can be applied. /liliDesign and run experiments. /li /ulpbYou May Be a Good Fit If You Have /b /pulliA Master's/PhD degree in Computer Science, Machine Learning, Mathematics, Statistics, or a related field.



/liliA detailed understanding of machine learning, deep learning (including LLMs), and natural language processing. /liliHands-on experience in training, fine-tuning, and deploying large language models. /liliPrior experience working with vector databases, search indices, or other data stores for search and retrieval use cases. /liliSignificant experience building evaluation systems for LLMs or search. /liliFamiliarity with various information retrieval techniques, such as lexical search and dense vector search. /liliThe ability to work effectively in a fast-paced environment where things are sometimes loosely defined. /liliWant to learn more about machine learning research. /liliThis 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. /li /ul /p #J-18808-Ljbffr

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