Senior Research Scientist

MongoDB
Palo Alto
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Collaboration","Communication","Teamwork","Research"]

Senior Research Scientist to advance next-generation AI models by conducting cutting-edge research in ML, NLP, and information retrieval, collaborating with a cross-disciplinary team, and driving research from concept to production within the Voyage AI initiative at MongoDB.

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FursaFursa
MongoDB
MongoDB
3 months ago

Senior Research Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Senior Research Scientist to advance next-generation AI models by conducting cutting-edge research in ML, NLP, and information retrieval, collaborating with a cross-disciplinary team, and driving research from concept to production within the Voyage AI initiative at MongoDB.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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.

Pay and Benefits

Perks:Parental LeaveFertility Assistance401kEquity

Key Requirements

  • •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.
  • •Experience conducting cutting-edge AI research.
Experience:Artificial intelligenceMachine learningInformation retrieval
Education:PhD / Doctorate
Skills:CollaborationCommunicationTeamworkResearch
Languages:English
Tech Stack:PythonPyTorchDistributed trainingLLMs

Company Brief

MongoDB
Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2007
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn