MongoDB is looking to integrate cutting-edge AI models, specifically embedding models and rerankers, into their data platform to enhance unstructured data search and retrieval for applications like RAG, recommendation systems, and semantic search. The goal is to empower innovators by enabling them to build, scale, and run modern, AI-powered applications.
Requirements
- Strong background in machine learning, deep learning, and natural language processing
- Experience building complex neural networks for language and visual understanding
- Capable of conducting rigorous empirical studies to validate theoretical results
Responsibilities
- Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers
- Innovate in next-generation information retrieval and LLM agent paradigm
- Collaborate closely with other research scientists and research engineers as well as peers across the organization
Other
- PhD degree in Computer Science or related field
- A track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications in top venues
- Excellent leadership, problem-solving, and communication skills
- This role can be based out of our Palo Alto office, or remotely in the United States.
