Senior Research Scientist: Power Modeling for Infrastructure

Meta; United States; Remote; USD 271,000 - 347,000; Full time

Job summary

Meta is seeking an experienced Research Scientist or Applied Scientist to define and build new modeling approaches for power utilization across our infrastructure.

This role leads 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.

Qualifications

• 10+ years of experience developing statistical, machine learning, simulation, forecasting, optimization, or other quantitative modeling systems.
• Experience leading ambiguous, cross-functional technical programs from problem definition through model development, evaluation, deployment, and business impact.
• Experience communicating complex technical concepts, assumptions, uncertainty, and tradeoffs to technical and non-technical audiences.

Responsibilities

• Define the scientific and technical strategy for modeling power consumption, peak risk, and reliability tradeoffs across large-scale infrastructure systems.
• Develop statistical, machine learning, and/or optimization models that forecast power demand, estimate peak distributions, quantify uncertainty, and support operational decision-making.
• Partner with engineering, capacity planning, data center, energy, hardware, operations, and finance teams to translate model outputs into infrastructure planning and utilization decisions.
• Establish evaluation frameworks, backtesting methods, confidence intervals, and monitoring systems to measure model quality and operational risk.
• Identify opportunities to safely increase power utilization, reduce stranded capacity, improve cost efficiency, and guide long-term infrastructure investment.
• Lead ambiguous, company-critical technical initiatives across organizations, influencing strategy and aligning stakeholders around scientifically grounded decisions.
• Mentor other scientists and engineers, raise the technical bar for modeling and forecasting systems, and represent Meta's work through external publications or talks.

Skills

Python

R

C++

Java

Statistical modeling

Time-series forecasting

Bayesian modeling

Job description

Meta is seeking an experienced Research Scientist or Applied Scientist to define and build new modeling approaches for power utilization across our infrastructure.

This role leads 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.