C
Retrieval Engineer (Remote — Worldwide)
RetrievalEmbeddingsRAGPython
About the role
Build best-in-class retrieval and embeddings for Cohere's RAG stack. Work from anywhere.
Responsibilities
Improve embedding/reranking models, scale retrieval infra, ship to enterprise customers.
Requirements
IR, vector search, embedding models, production ML.
Benefits
Equity, benefits, remote.
Disclaimer: MMagic.ai connects talented people with AI companies around the world. While we work hard to feature quality opportunities, we don't independently verify employers, candidates, salaries, or hiring outcomes. We encourage you to research each opportunity and company before applying or making an offer.