Research Science Intern (PhD)

At Datadog, a Most Loved Workplace® certified employer in the Technology space, Observe, Secure, and Optimize Modern Cloud Infrastructure at Scale.

<p><strong>Datadog AI Research — Scholars Program with Carnegie Mellon University</strong></p>

<p>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. </p>

<p>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.</p>

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<p><strong>The Lab And The Research:</strong></p>

<p>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 learning systems. By combining fundamental research with Datadog's large-scale, real-world data and infrastructure, the lab develops new AI capabilities and translates them into practical systems with meaningful impact.</p>

<p>Internship projects are shaped with your DAIR mentor and your CMU faculty advisor. You do not need prior experience with observability, monitoring, or infrastructure.</p>

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<p><strong>What You'll Do:</strong></p>

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<li>Own a research project end to end: framing the question, running the experiments, writing it up</li>

<li>Work directly with a DAIR mentor engaged in the same problem, and stay connected to your advisor and lab</li>

<li>Publish, and use the work toward your dissertation</li>

<li>See research reach production, when it works</li>

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