Description
Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR.
You will frame a problem, run experiments, and write up your findings, with access to large-scale compute and data.
The Lab And The Research: DAIR is an industrial research lab focused on observability and software operation, detecting and diagnosing failures, and helping engineers operate software effectively.
Internship projects are shaped with your DAIR mentor and CMU faculty advisor.
Responsibilities:
- Own a research project end-to-end
- Collaborate with colleagues and mentors
- Publish research and contribute to your dissertation
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 the research
- Experience running experiments, training models, and working with GPUs
- Evidence of research ability, such as conference papers or open-source contributions
Benefits:
- Competitive salary ($110,000-$140,000 USD)
- Comprehensive and inclusive employee benefits, including healthcare, paid time off, and relocation assistance