below marketmost similar roles pay hereabove market
This role pays more than
63%
of similar roles. Most pay
$175,157–$246,500
— the blue band above.
At the midpoint, this role pays about
$224k
versus about
$211k
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
46 open roles
on FindRole.
Listed pay typically runs
$110,500–$255,000
across 40 roles with salary data.
The Staff Research Scientist joins the Voyage AI team to develop next-generation AI models, specifically focusing on embedding models and rerankers. This role involves conducting cutting-edge research in artificial intelligence, including frontier LLMs, to innovate in information retrieval and LLM agent paradigms. The successful candidate will collaborate with research scientists and engineers to build complex neural networks for language and visual understanding. Key requirements include a PhD in Computer Science, professional research experience, and a track record of first-author publications in top venues. The position requires deep expertise in machine learning, deep learning, and natural language processing to conduct rigorous empirical studies. The work addresses the technical challenge of enabling accurate, efficient unstructured data search and retrieval for RAG, recommendation systems, and semantic search.
What does a Research Scientist earn?
Median $216250 from 45 postings across 16 companies.
Machine Learning
Deep Learning
Natural Language Processing
LLMs
Embedding Models
Rerankers
Distributed Training
Information Retrieval
Neural Networks
RAG
Semantic Search
Machine Learning
Python
Generative AI
Transformers
Self-Supervised Learning
Foundation Models
VLAs
Multimodal Systems
Video Generation
Robotics
AV
ADAS
Foundation Models
World Models
Multimodal Learning
Deep Learning
Large Language Models
Generative Modeling
Representation Learning
Pre-training
Distributed Systems
Observability
Metrics
Logs
Traces
Topology
Events
Telemetry Data
Machine Learning
Python
PyTorch
Deep Learning
Information Retrieval
Recommender Systems
Multi-GPU
Google Cloud
AWS
Azure
Representation Learning
Graph Data
Preference Optimization
Machine Learning
PyTorch
Python
Deep Learning
Information Retrieval
Recommender Systems
Language Models
Multi-GPU
Google Cloud
AWS
Azure
Representation Learning
Graph Data
Preference Optimization