About Voyage AI Team at MongoDB
Voyage AI team in MongoDB is building best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions.
Position Overview
We are seeking a Staff Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks. This role can be based out of our Palo Alto office, or remotely in the United States.
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
Qualifications
- 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
- 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
- Excellent leadership, problem-solving, and communication skills
What We Offer
- Opportunity to work on real-world problems at the cutting edge of AI research
- Opportunity to utilize research vision to innovate the entire company and make real-world impact
- Exposure to the full lifecycle of AI model development, from research to production