Research Science Intern (PhD)

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.

Own a research project end to end: framing the question, running the experiments, writing it up
Work directly with a DAIR mentor engaged in the same problem, and stay connected to your advisor and lab
Publish, and use the work toward your dissertation
See research reach production, when it works

 

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 the research above
Comfort running real experiments — training models, working with GPUs, reading and reimplementing recent papers
Evidence you can do research: conference or workshop papers, preprints, open-source contributions, or a lab project you can discuss in depth
Research taste. You can explain why a problem matters and what would change if it were solved.
Honest empiricism. You report the ablation that didn't work.
Support from your faculty advisor.

 
A long publication record. How you think matters more than how much you've published.
Observability, monitoring, or SRE background.
A perfect match to the areas above.

 
Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.
 
This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.
 

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