Staff Research Scientist, Voyage AI
About Voyage AI Team at MongoDB Voyage AI team in MongoDB is building a 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
What this role actually needs.
About Voyage AI Team at MongoDB Voyage AI team in MongoDB is building a 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 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 Requirements: - 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 Benefits: - 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 - Our compensation (base + equity) for this position is competitive with frontier AI labs Company context: MongoDB is the public document database company powering modern applications across cloud, on-prem, and edge.
Day-to-day expectations
Mongodb lists these responsibilities for the Staff Research Scientist, Voyage AI role.
- 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
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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
Why people would want this job
Mongodb published these compensation, benefits, or working-context details with the role.
- 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
- Our compensation (base + equity) for this position is competitive with frontier AI labs
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Staff Research Scientist, Voyage AI is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
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Location read
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
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Open the source listing from mongodb.com, confirm the role is still active, then apply on the employer or ATS page.
Source: mongodb.com Β· Source ID: 7280132 Β· Confidence: 90/100 Β· Last checked: May 7, 2026
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