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Active1mo ago

Research Science Intern (PhD)

Datadog·📍 New York, United States

Employment

FULL TIME

Work mode

On-site

Experience

Fresher (0–1 year)

Salary

$110K – $140K/yr

Role overview

Job description

Datadog AI Research — Scholars Program with Carnegie Mellon University Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support a small number of PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. The Lab And The Research: DAIR is an industrial research lab motivated by practical challenges in observability and software operation: detecting and diagnosing failures, understanding complex production environments, and helping engineers operate software more effectively. The lab focuses on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learn

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About this listing

  • Source: Datadog's official careers site (via Greenhouse) · last confirmed on the source 3 Nov 2026
  • Posted 15 Sept 2026

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What they are looking for

Skills & requirements

Qualification

Datadog AI Research — Scholars Program with Carnegie Mellon University Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support a small number of PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR; We also consider qualified applicants regardless of criminal histories, consistent with legal requirements

Department · Engineering Interns

Hiring company

Datadog

We tackle some of the hardest technical problems while delivering a product that "just works" for our customers. And we are backed by some of the best VCs in NYC and the world. Do you want to make a difference? Are you exceptional at your job, and intrinsically motivated by it? Do you eat hard problems for breakfast and find them beautifully simple solutions by lunchtime? Do you ever wish you were there in the early days of these startups everyone is talking about? If so, we want to hear from you.

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