Senior Research Scientist

MongoDB

Quick summary

Work type: On-site
Location: New York, NY
Salary: $126,000–$248,000 / yr
Posted: 13 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k

This role $187k

$111k most similar roles pay here $263k

This role pays more than 50% of similar roles. Most pay $162,000–$226,800 — the shaded band above. At the midpoint, this role pays about $187k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 287 open roles on FindRole.

Listed pay typically runs $126,500–$209,000 across 104 roles with salary data.

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At a glance

TL;DR · Senior Research Scientist

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The Senior Research Scientist role at the Voyage AI team within MongoDB involves conducting cutting-edge research in artificial intelligence, focusing on embedding models and rerankers for unstructured data search. This position requires collaborating closely with a team of AI researchers from top universities to develop next-generation information retrieval systems and LLM agents. The ideal candidate will have a PhD in Computer Science or a related field, along with expertise in machine learning, deep learning, and natural language processing. Familiarity with distributed training of neural networks is essential, as the role involves integrating state-of-the-art embedding models with MongoDB’s data platform to create powerful end-to-end solutions for real-world problems.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD Git PostgreSQL MongoDB AWS Azure Google Cloud Platform Scikit-learn Pandas NumPy Jupyter Notebook GitHub Conda Hugging Face Transformers

What you'll do

Conduct cutting-edge research in artificial intelligence and embedding models.
Innovate next-generation information retrieval and LLM agent paradigms.
Develop efficient rerankers for unstructured data search and retrieval.
Integrate state-of-the-art embedding models with MongoDB's data platform.
Work on the full lifecycle of AI model development, from research to production.

What we're looking for

PhD in Computer Science or related field.
Strong background in machine learning and deep learning.
Expertise in natural language processing techniques.
Experience with distributed training of neural networks.
Ability to collaborate across interdisciplinary teams.

Hybrid

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