Applied AI Research Engineer: RAG & Retrieval (Remote)

kapa.ai

Denmark

On-site

DKK 598,000 - 897,000

Full time

11 days ago

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Job summary

Kapa.ai is seeking a research engineer to help improve our ability to answer increasingly challenging technical questions. You will work directly with the founding team and software engineers to push the boundaries of retrieval-augmented QA using LLMs and related technologies.

The role emphasizes staying current with ML/NLP advances, designing experiments, and contributing to benchmarks while operating in a distributed European setup with optional Copenhagen presence.

Qualifications

  • Master's or PhD in CS, ML, math, statistics or related field.
  • Deep understanding of machine learning, deep learning (including LLMs) and NLP.
  • Hands-on experience in training, fine-tuning and deploying large language models.
  • 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 lexical search and dense vector search retrieval techniques.
  • Ability to work effectively in a fast-paced environment where things are loosely defined.
  • Interested in advancing ML research.

Responsibilities

  • Work directly with the founding team and software engineers.
  • Keep up with the latest developments in the space and explore applicability.
  • Design and run experiments.

Skills

Machine Learning
Natural Language Processing
LLMs
Evaluation Systems
Vector Databases
Retrieval
Research

Education

Master's/PhD in CS, ML, Mathematics, Statistics or related field

Job description

Kapa.ai is seeking a research engineer to help improve our ability to answer increasingly challenging technical questions. You will work directly with the founding team and software engineers to push the boundaries of retrieval-augmented QA using LLMs and related technologies.

The role emphasizes staying current with ML/NLP advances, designing experiments, and contributing to benchmarks while operating in a distributed European setup with optional Copenhagen presence.

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