Staff Research Scientist
Hybrid (Palo Alto, CA)$151k - $297kfull-timePosted 4mo ago
About the role
Staff Research Scientist to join the Voyage AI team at MongoDB, focusing on next-generation AI models, embedding models, and information retrieval challenges at the intersection of ML research and production deployment. Hybrid with Palo Alto or remote 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
- At least 6 years of full-time professional experience in research or a closely related field
- Track record of new ideas or improvements in machine learning, demonstrated by 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
Skills
Required:PhD in Computer Science or related fieldMachine learningDeep learningNatural Language ProcessingResearch leadership
Benefits
- Our compensation (base + equity) for this position is competitive with frontier AI labs
- Opportunity to work on real-world problems at the cutting edge of AI research
- Exposure to the full lifecycle of AI model development, from research to production
- Opportunity to utilize research vision to innovate the entire company and make real-world impact
- Fertility and adoption assistance (from benefits paragraph)
- 401(k) plan
- Mental health counseling
- Gender-neutral parental leave (20 weeks)
- Health benefits offerings
- Equity and employee stock purchase program (from benefits paragraph)
Last updated Oct 22, 2026. Interested? Apply on the company site.
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