Research Engineer, Applied AI

kapa.ai; United Kingdom; Remote; GBP 75,000 - 130,000; Full time

Job summary

A leading AI solutions company seeks a Research Engineer to enhance technical question answering capabilities. This entry-level role involves evaluating systems, designing experiments, and applying machine learning techniques. Candidates should have a Master's or PhD in a relevant field and a strong understanding of machine learning and NLP. The position is remote within Europe or on-site in Copenhagen.

Qualifications

• Master's/PhD degree in a relevant field.
• Detailed understanding of machine learning and natural language processing.
• Hands-on experience training and deploying LLMs.

Responsibilities

• Evaluate a RAG system in production without labeled data.
• Create benchmarks from scratch.
• Design and run experiments.

Skills

Machine Learning

Natural Language Processing

Deep Learning

Training Large Language Models

Evaluation Systems

Information Retrieval Techniques

Education

Master's or PhD in Computer Science or related field

Job description

This range is provided by kapa.ai. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $170,000.00/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 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.

Seniority Level

Entry level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Software Development

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