Research Engineer, Applied AI

kapa.ai; United Kingdom; On-site; USD 100,000 - 150,000; Full time

Job summary

A leading company seeks a research engineer to enhance its capabilities in solving technical questions. The role involves deploying ML models and working on advanced retrieval techniques, providing a unique opportunity to collaborate with seasoned experts in the field. Ideal candidates will have a solid foundation in machine learning and a relevant academic background.

Qualifications

• Understanding of deep learning and LLMs.
• Experience in training and deploying ML models.
• Familiarity with vector databases and data retrieval.

Responsibilities

• Work on improving retrieval and search techniques.
• Deploy machine learning models as part of RAG.
• Continuously improve quality evaluation frameworks.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Information Retrieval Techniques

Training Large Language Models

Education

Master's/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 - $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

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care, Non-profit Organizations, and Government Administration

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