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.
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 increasingly complex 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.
- Research state-of-the-art retrieval and search techniques.
- Deploy machine learning models as part of RAG.
- Improve quality evaluation frameworks for robust iteration.
- Stay updated with the latest developments and explore their applications.
- Design and run experiments.
You will have support from leading academics in the field, including close advisors like Douwe Kiela, author of the original RAG paper.
You May Be a Good Fit If You Have
A Master’s or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related fields.Deep understanding of machine learning, deep learning (including LLMs), and NLP.Experience training, fine-tuning, and deploying large language models.Experience with vector databases, search indices, or similar data stores.Experience building evaluation systems for LLMs or search.Knowledge of information retrieval techniques, such as 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.Additional Information
Seniority level : Entry levelEmployment type : Full-timeJob function : Engineering and ITIndustries : Software DevelopmentReferrals can double your chances of interviewing at kapa.ai.
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