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Jobs/Remote (United States)/Staff Research Scientist, Voyage AI
Remote (United States), US

Staff Research Scientist, Voyage AI

About 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

Company
Mongodb
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

About 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 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 Requirements: - PhD degree in Computer Science or related field - A track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications in top venues - Strong background in machine learning, deep learning, and natural language processing - Experience building complex neural networks for language and visual understanding - Capable of conducting rigorous empirical studies to validate theoretical results - Excellent leadership, problem-solving, and communication skills Benefits: - 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 Company context: MongoDB is the public document database company powering modern applications across cloud, on-prem, and edge.

Responsibilities

Day-to-day expectations

Mongodb lists these responsibilities for the Staff Research Scientist, Voyage AI role.

  • 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
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • PhD degree in Computer Science or related field
  • A track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications in top venues
  • Strong background in machine learning, deep learning, and natural language processing
  • Experience building complex neural networks for language and visual understanding
  • Capable of conducting rigorous empirical studies to validate theoretical results
  • Excellent leadership, problem-solving, and communication skills
Benefits

Why people would want this job

Mongodb published these compensation, benefits, or working-context details with the role.

  • 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
UpJobz market context

Why this listing is more than a copied job post.

Staff Research Scientist, Voyage AI is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.

Compensation read

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

Because this is remote, country scope and time-zone expectations matter as much as the title. Confirm the employer's allowed work locations on mongodb.com.

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Subscriber playbook

Turn this listing into an application plan.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to staff research scientist, voyage ai is a high-signal on-site role in remote (united states), and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Artificial IntelligenceRemoteaillmmachine-learningresearch

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
  • Lead with distributed collaboration, async delivery, and timezone discipline.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmmachine-learningresearchawsgcpazureplatformdatabasegoc++cloudatlas
Next step

Apply through the employer source

Open the source listing from mongodb.com, confirm the role is still active, then apply on the employer or ATS page.

Open employer application

Source: mongodb.com Β· Source ID: 7280132 Β· Confidence: 90/100 Β· Last checked: May 7, 2026

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