Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Research Science Intern (PhD) role.
Rezi rewrites your resume against Datadog's job description. Free.

Tailor your resume to this Research Science Intern (PhD) role.
Rezi rewrites your resume against Datadog's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Research Science Intern (PhD) posting at Datadog — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Research Science Intern (PhD) posting at Datadog — free, in seconds.
About the Role
This Scholars Program, a collaboration between Datadog AI Research (DAIR) and Carnegie Mellon University, supports PhD students in tackling open research problems relevant to Datadog's work. Participants will define and execute their own experiments, leveraging Datadog's extensive compute and data resources, and collaborate with researchers on similar challenges.
Responsibilities
- 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
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
- 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.
Skills
- Machine learning
- Computer science
- Statistics
- Model training
- GPU utilization
- Paper implementation
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- PhD student
Education Level
- PhD
Salary/Compensations
- $110,000—$140,000 USD
Benefits
- Healthcare
- Paid time off
- Benefits related to traveling and relocation, if eligible
About the Company
- Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
- It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
- Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
- Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity
- Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
- Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.