Research Engineer, Applied AI

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

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.

$/yr - $/yr

As a research engineer, you will work on improving kapa’s ability to answer increasingly complex technical questions. Check out Docker’s documentation for a live example of what kapa is (look for the “Ask AI” button).

You will have support from leading academics in the field, including close advisors like Douwe Kiela, author of the original RAG paper.

• A Master’s or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a 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 with vector databases, search indices, or other data stores for search and retrieval.
• Experience building evaluation systems for LLMs or search.
• Familiarity with information retrieval techniques like lexical and dense vector search.
• The ability to work effectively in a fast-paced environment with sometimes loosely defined tasks.
• A desire to learn more about machine learning research.

Even if you don’t meet all these attributes, if you believe you can contribute to kapa.ai, please reach out.

• Seniority level:
  Entry level
• Employment type:
  
  Full-time
• Job function:
  Engineering and Information Technology
• Industry: Software Development

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