Research Scientist, Infrastructure Modeling and Reliability
- Location
- Menlo Park, CA · On-site
- Job type
- Full-time
- Level
- Senior
- Listed
- 29 days ago
Skills & highlights for this role
- statistical modeling
- machine learning
- high-dimensional data analysis
- uncertainty quantification
About the role
Meta builds technologies that help people connect, find communities, and grow businesses. Meta's infrastructure supports services used by billions of people, and operating that infrastructure efficiently requires increasingly sophisticated modeling of demand, utilization, reliability, and physical resource constraints.
We are seeking an experienced Research Scientist or Applied Scientist to define and build new modeling approaches for power utilization across Meta's infrastructure. This role will lead the development of statistical and machine learning models that monitor power consumption, project peak demand, quantify uncertainty, and inform how Meta maximizes usable power within failure domains while maintaining target reliability levels.
Qualified candidates will have has deep experience modeling high-dimensional, noisy, and interdependent systems, and has demonstrated the ability to translate scientific advances into production systems that influence large-scale infrastructure strategy.
From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Research Scientist, Infrastructure Modeling and Reliability job at Meta located?
This Research Scientist, Infrastructure Modeling and Reliability position at Meta is located in Menlo Park, CA (On-site). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Research Scientist, Infrastructure Modeling and Reliability at Meta?
For the Research Scientist, Infrastructure Modeling and Reliability role, Meta highlights experience with statistical modeling, machine learning, high-dimensional data analysis, uncertainty quantification. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Research Scientist, Infrastructure Modeling and Reliability position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.