AI summary
Staff Research Scientist role on MongoDB’s Voyage AI team, focused on advancing embedding models, rerankers, and frontier LLM research for unstructured search and retrieval (RAG, semantic search, recommendations). You’ll collaborate with a research-heavy group and help integrate SOTA models into MongoDB’s data platform, with exposure from research through production. Standout perk: competitive compensation (base + equity) plus strong benefits including 20 weeks paid parental leave.
Key skills
PhD in Computer Science (or related)Machine learningDeep learningNatural language processing (NLP)Large language models (LLMs)Embedding modelsRerankersNeural networks for language understandingNeural networks for visual understandingModel deployment/production lifecycle exposure
Salary not listed — comparable NYC Staff/Research Scientist roles in frontier-leaning AI teams often total roughly $250k-$500k+ (base+equity), depending on seniority and lab-level competitiveness.
You'll thrive here if you have a PhD-level research background and enjoy building and deploying large-scale neural network models (LLMs/embeddings/rerankers) that make it into real products.
Why apply
- Competitive base + equity
- 20 weeks paid parental leave
- Work on cutting-edge AI research
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.
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.
Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers
Collaborate closely with other research scientists and research engineers as well as peers across the organization
PhD degree in Computer Science or related field
Strong background in machine learning, deep learning, and natural language processing
Experience building complex neural networks for language and visual understanding
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
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. Our 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—relying on MongoDB for their most important applications, we’re powering the next era of software.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
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.
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.
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.
Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers
Collaborate closely with other research scientists and research engineers as well as peers across the organization
PhD degree in Computer Science or related field
Strong background in machine learning, deep learning, and natural language processing
Experience building complex neural networks for language and visual understanding
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
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. Our 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—relying on MongoDB for their most important applications, we’re powering the next era of software.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
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.
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.