Research Engineer, Applied AI

kapa.ai; France; Remote; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Kapa.ai seeks a Research Engineer to advance its technical capabilities, answering increasingly challenging questions with AI assistants. You will collaborate with the founding team and engineers to design experiments and apply the latest ML/NLP developments.

Ideal candidates hold a Masters or PhD in CS/ML, have hands-on experience with LLMs, fine-tuning, and vector search, and thrive in a fast, loosely defined environment. Remote in Europe, with Copenhagen office for on-site/hybrid.

Qualifikationen

• Master's/PhD in CS, ML, mathematics, statistics or related field.
• Deep understanding of ML, DL (incl. LLMs) and NLP.
• Hands-on experience training, fine-tuning and deploying large language models.
• Experience with vector databases, search indices, or data stores for search and retrieval.
• Experience building evaluation systems for LLMs or search.
• Familiarity with lexical and dense vector search techniques.
• Ability to work in a fast-paced environment with loosely defined goals.
• Interest in contributing to kapa.ai through ML research.

Aufgaben

• Work directly with the founding team and software engineers.
• Design and run experiments to improve model performance.
• Stay up-to-date with developments in ML/NLP and apply them to kapa.ai.
• Contribute to building an agentic retrieval system that balances speed and accuracy.

Kenntnisse

LLMs & NLP

Fine-tuning & deployment

Vector databases & search

Evaluation systems for LLMs

IR techniques (lexical & dense)

Adaptability in fast-paced env

Ausbildung

Master's/PhD in CS/ML/Math/Stats or related

Tools

Vector DB tools

Search indices

Jobbeschreibung

Kapa makes technical knowledge instantly accessible through AI assistants. As a research engineer you will work on improving Kapa’s ability to answer harder and harder technical questions. Check out Docker’s documentation (https://docs.docker.com) 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 rerank 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.
• 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.

Location: Remote within Europe. We’re a distributed team and welcome applicants based anywhere in Europe. We also have an office in Copenhagen for those who prefer working on-site or hybrid.