MongoDB
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 state-of-the-art 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 the 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 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 across the 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.
About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. MongoDB’s cloud-native platform, MongoDB Atlas, is the only globally distributed, multi‑cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI‑native startups—we’re powering the next era of software. MongoDB is committed to providing required accommodations for individuals with disabilities within our application and interview process. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
MongoDB’s base salary range for this role in the U.S. is: $118,000—$231,000 USD. Other benefits for eligible employees may include equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings.
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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 state-of-the-art 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 the 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 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 across the 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.
About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. MongoDB’s cloud-native platform, MongoDB Atlas, is the only globally distributed, multi‑cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI‑native startups—we’re powering the next era of software. MongoDB is committed to providing required accommodations for individuals with disabilities within our application and interview process. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
MongoDB’s base salary range for this role in the U.S. is: $118,000—$231,000 USD. Other benefits for eligible employees may include equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings.
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