Research Science Intern (PhD)

DataDog
New York, Pittsburgh
Workplace: HybridInternshipUSD 110,000 - 140,000 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Research communication","Honest empiricism","Collaboration","Intellectual curiosity"]

Own an end-to-end research project with Datadog’s AI Research lab, from framing the question and running experiments to writing up results. Collaborate closely with a DAIR mentor and your Carnegie Mellon faculty advisor while working on observability- and software-operation grounded AI topics, including foundation models and AI agents. Publish and connect your work to your dissertation, with the chance to see research reach production when it works.

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DataDog
DataDog
1 day ago

Research Science Intern (PhD)

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Last checked: 8 hours agoStatus: Live

Job Summary

Own an end-to-end research project with Datadog’s AI Research lab, from framing the question and running experiments to writing up results. Collaborate closely with a DAIR mentor and your Carnegie Mellon faculty advisor while working on observability- and software-operation grounded AI topics, including foundation models and AI agents. Publish and connect your work to your dissertation, with the chance to see research reach production when it works.
Location: New York, Pittsburgh
Workplace: Hybrid
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Own a research project end to end: frame the question, run experiments, and write it up.
  • •Work directly with a DAIR mentor engaged in the same problem while staying connected to your advisor and lab.
  • •Train models and run experiments as part of your project.
  • •Publish results and use the work toward your dissertation.
  • •Contribute to research that can reach production when it works.

Pay and Benefits

Salary: USD 110,000 - 140,000 annually
Perks:Health InsurancePaid Leave

Key Requirements

  • •Currently enrolled in a PhD program at Carnegie Mellon in machine learning, computer science, statistics, or a related field.
  • •Depth in at least one area relevant to DAIR’s research above.
  • •Comfort running real experiments, including training models, working with GPUs, and reading/reimplementing recent papers.
  • •Evidence you can do research, such as conference/workshop papers, preprints, open-source contributions, or a lab project you can discuss in depth.
  • •A clear research taste: you can explain why a problem matters and what would change if solved.
Education:PhD / Doctorate in Machine learning, computer science, statistics, or a related fieldCarnegie Mellon University
Skills:Research communicationHonest empiricismCollaborationIntellectual curiosity
Languages:English
Tech Stack:Machine learningFoundation modelsAI agentsGPUsTraining modelsExperimentsObservabilityMonitoringInfrastructureOpen-source

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
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: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn