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Senior Research Scientist

MongodbPalo AltoFull-timeSalary not listed · Typical payPosted Nov 7, 2026

This listing is for a Senior Research Scientist role at Mongodb, in Palo Alto. The listing describes it as a full-time, senior position with hybrid working.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

This listing is for a Senior Research Scientist role at Mongodb, in Palo Alto. The listing describes it as a full-time, senior position with hybrid working.

The advert mentions machine learning and deep learning among the skills and tools for this role.

The employer does not state a salary in this listing; the DGJ Country Salary Calculator gives official average pay figures by country.

Benefits mentioned in the advert: health insurance, pension or retirement plan, paid time off, parental leave and equity or stock options.

Dev Global Jobs found this job on Greenhouse on Nov 7, 2026.

Employer
Mongodb
Location
Palo Alto
Work mode
hybrid
Job type
Full-time
Level (from the title)
senior
Pay
Not stated by the employer
Found
Nov 7, 2026 on Greenhouse
Employer text
727 words, about 3 min to read
Skills named in the advert
machine learningdeep learning
Before you apply
  • Apply only on the official page (mongodb.com). Dev Global Jobs is not the employer and never asks for a fee.
  • Mirror the skills the advert names (machine learning and deep learning) in your CV where you really have them; applicant tracking systems look for these words.
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Job description

About the role

Full text from the employer, as published on Greenhouse, arranged into sections. Nothing added or removed.

01About 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.

02Position 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.

We are looking to speak to candidates who are based in Palo Alto for our hybrid working model.

03Responsibilities

  • 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

04Qualifications

  • 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

05What 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

06About 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: 2273430550

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:

$126,000-$248,000 USD

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