Staff Research Scientist
MongoDB · Hybrid
MeritLog read this listing from MongoDB's Greenhouse job board and last checked it on September 12, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- $151,000 – $297,000
- Location
- Palo Alto
- Occupation
- Data Scientists(O*NET 15-2051.00)
Hiring context
How this role compares at MongoDB
MongoDB has 405 live roles in MeritLog’s catalog across 13 job families, and 88 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.
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Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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 they're asking for
- PhD degree in Computer Science or related fieldEducation
- 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 venuesSkill
- Strong background in machine learning, deep learning, and natural language processingSkill
- Experience building complex neural networks for language and visual understandingSkill
- Capable of conducting rigorous empirical studies to validate theoretical resultsSkill
- Excellent leadership, problem-solving, and communication skillsSkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model. Position Overview 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. 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 • 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 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 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 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 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. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 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. Req ID: 2273454547 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. 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. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $151,000-$297,000 USD
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