Research Engineer, Applied AI

kapa.ai

Portugal

Presencial

EUR 85 866 - 128 799

Tempo integral

14 dias+

Recebe mais respostas dos empregadores

Envia um currículo específico para a oferta em poucos minutos.

Resumo da oferta

A leading company in AI is seeking a Research Engineer to innovate on machine learning strategies and techniques. This entry-level position involves collaboration with a talented team, deploying advanced models, and continuous improvement of evaluation frameworks to enhance AI capabilities. Ideal candidates have advanced degrees in related fields and a passion for machine learning.

Qualificações

Master's or PhD in relevant fields.
Hands-on experience with machine learning models.
Familiarity with vector databases and evaluation systems.

Responsabilidades

Work on and deploy machine learning models as part of RAG.
Continuously improve quality evaluation frameworks.
Design and run experiments in machine learning.

Conhecimentos

Machine Learning

Deep Learning

Natural Language Processing

Information Retrieval

Formação académica

Master's/PhD in Computer Science

Master's/PhD in Machine Learning

Master's/PhD in Mathematics

Master's/PhD in Statistics

Descrição da oferta de emprego

Join to apply for the Research Engineer, Applied AI role at kapa.ai

Get AI-powered advice on this job and more exclusive features.

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 - $150,000.00/yr

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 (look for the “Ask AI” button).

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.

Seniority level