Meta
Research Scientist, Infrastructure Modeling and Reliability
$271K–$347K
Menlo Park, CA +1 · Remote · Full-time · Posted Oct 7, 2026
- Location
- Menlo Park, CA
Remote, US - Experience
- 10+ years; no alternative stated.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
About the job
Leads research and development of statistical, machine-learning, and optimization models to forecast infrastructure power demand, quantify peak and reliability risks, and guide power utilization and planning decisions.
What you'll do
- Set modeling strategy and develop forecasting, uncertainty, and reliability approaches for large-scale infrastructure.
- Build evaluation, backtesting, and monitoring frameworks, and translate model outputs into operational and investment decisions with cross-functional teams.
- Lead technical initiatives and mentor scientists and engineers.
What they ask for
- 10+ years developing quantitative modeling systems.
- Experience leading cross-functional technical programs from problem definition through deployment and business impact.
- Experience coding in Python, R, C++, Java, or similar languages, and communicating complex technical concepts and tradeoffs.
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
Nice to have
- Experience in infrastructure, capacity planning, power or energy systems, data centers, reliability engineering, distributed systems, supply-chain optimization, or resource allocation.
- Experience with peak-demand forecasting, probabilistic modeling, optimization, uncertainty quantification, or production models for constrained operational decisions.
Pay
$271,000/year to $347,000/year (base salary); bonus + equity (amount not stated)
Tools
Python, R, C++, Java
AI focus
Develop statistical and machine-learning models to monitor power consumption, forecast peak demand, quantify uncertainty, and support reliable infrastructure utilization and planning.
Model-written summary · the original posting is authoritative