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MongoDB

Senior Research Scientist

MongoDB

Published 13 May 2026
Palo Alto, CA, USA
126K - 248K USD Annual
Full Time

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Role Highlights

Languages used

Key skills

AI
Deep Learning
NLP
Neural networks
ML Research
Information Retrieval
Machine Learning
Semantic Search
Computer Science
LLMs
Fine Tuning
Embeddings
Data
RAG
Deployment
PhD
Database
Cloud

Tools, Libraries and Frameworks

GCP
MongoDB
AWS
Azure

Description

The role involves conducting research in artificial intelligence, specifically focusing on frontier large language models, embedding models, and rerankers. The individual will innovate in the areas of information retrieval and large language model agent paradigms. Collaboration with other research scientists and engineers is a core component of the position. The work entails addressing complex problems at the intersection of machine learning research and the practical deployment of large neural networks. The position covers the full lifecycle of model development, from initial research to production.

Required Qualifications and Skills

The role requires a PhD degree in Computer Science or a related field. Candidates must possess a strong background in machine learning, deep learning, and natural language processing. Additionally, familiarity with the distributed training of neural networks for language and visual understanding is necessary.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

MongoDB

Description

MongoDB is leading the charge in the global data management software market, which is experiencing significant growth. They are the first database provider to IPO in over twenty years and are dedicated to empowering developers with their developer data platform, enabling the creation of amazing apps. The Technical Services team at MongoDB plays a critical role in ensuring customer deployments of MongoDB's diverse product offerings, including the Atlas Data Platform, perform optimally. MongoDB is committed to innovation, offering an expanding suite of products and a culture supportive of personal growth and impact.

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