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 level
Employment type: Full-time
Job function: Engineering and IT
Industries: Software Development
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