Requirements: English
Company: kapa.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.Base pay range$100,000.00/yr - $150,000.00/yrAs a research engineer, you will work on improving kapas ability to answer increasingly complex technical questions. Check out Dockers documentation for a live example of what kapa is (look for the Ask AI button).In This Role, You WillWork 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.Continuously improve our quality evaluation frameworks for robust iteration.Stay updated with the latest developments in the space and explore their applications.Design and run experiments.You will also 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 HaveA Masters or PhD degree in Computer Science, Machine Learning, Mathematics, Statistics, or a related field.A thorough understanding of machine learning, deep learning (including LLMs), and natural language processing.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 applications.Experience building evaluation systems for LLMs or search.Familiarity with 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.If none of these attributes apply but you believe you can contribute to kapa.ai, please reach out.Additional DetailsSeniority level: Entry levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Software Development#J-18808-Ljbffr