Research Science Intern (PhD) (AI)

Location: Hybrid in New York, New York, USA, or Pittsburgh, Pennsylvania, USA

Salary: $110,000–$140,000 USD per year

Company

Datadog provides an observability and security platform that uses AI to help businesses monitor technology stacks, manage complexity, and resolve issues.

What you will do

• Own an AI research project from problem framing through experiments and publication.
• Investigate practical challenges in observability and software operations, including failure detection and diagnosis.
• Train and evaluate models and AI agents using large-scale data, compute, and GPU infrastructure.
• Work with a Datadog AI Research mentor and Carnegie Mellon faculty advisor.
• Publish results, contribute to a dissertation, and help translate successful research into production systems.

Requirements

• Currently enrolled in a PhD program at Carnegie Mellon University in machine learning, computer science, statistics, or a related field.
• Depth in at least one relevant research area.
• Experience running experiments, training models, working with GPUs, and reading and reimplementing recent papers.
• Evidence of research through papers, preprints, open-source contributions, or a substantial lab project.
• Support from a faculty advisor.
• Some positions may require eligibility for authorizations under US export control regulations.

Nice to have

• Experience with observability, monitoring, or site reliability engineering, although it is not required.
• A long publication record, although it is not required.

Culture & Benefits

• Collaboration with Datadog AI Research and Carnegie Mellon researchers.
• Access to compute and real-world data at a scale beyond most academic labs.
• Healthcare and paid time off.
• Travel and relocation benefits may be available if eligible.
• Inclusive employment practices and support for candidates from diverse backgrounds.