Job Description
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 OverviewWe 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
- 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
- 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 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 67000 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.
Skills Required
- 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
- Excellent leadership problem-solving and communication skills
- A track record of coming up with new ideas or improvements in machine learning
What the Team is Saying
MongoDB Compensation & Benefits Highlights
- Parental & Family Support—Parental leave is substantial and fully paid for new parents with additional paid flexibility to ease the return to work. Family‑building support reimburses eligible fertility adoption and surrogacy expenses up to a lifetime maximum in the U.S.
- Healthcare Strength—Health coverage includes multiple medical dental and vision options plus a One Medical membership for employees and dependents. Coverage extends to inclusive services such as gender‑affirmation care and dedicated menopause/low‑testosterone support alongside mental‑health resources.
- Leave & Time Off Breadth—Flexible PTO and observed company holidays provide meaningful time away from work. Return‑to‑work flexibility following parental leave further broadens overall time‑off support.
MongoDB Insights
What We Do
The database market is big. How big? Well according to IDC it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want wherever they want.
Why Work With Us
We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.
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MongoDB Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
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Date Posted
06/23/2026
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