Senior Research Scientist
MongoDB, Inc. - Palo Alto
Posted May 11, 2026
Benefits
- Parental leave
- Not verified not verified - source URL not recorded; timestamp not recorded
- Non-birth-parent leave
- Not verified not verified - source URL not recorded; timestamp not recorded
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $126K-$248K From the posting source checked Jun 20, 2026
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
U.S. benchmark only; posted salary is not compared across countries or currencies.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
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- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Research Scientist Palo Alto 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 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 Senior 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. 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 - Strong background in machine learning, deep learning, and natural language processing - Familiarity with training distributed training of neural networks for language and visual understanding 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
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