Research Scientist, Infrastructure Modeling and Reliability
Meta· Engineering
Menlo Park, CA$271k - $347kFull-timePosted 2w ago
About the role
Role focused on defining and building modeling approaches for power utilization across Meta's infrastructure. Lead development of statistical and machine learning models to monitor power consumption, project peak demand, quantify uncertainty, and inform infrastructure planning and utilization while maintaining reliability targets.
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
- Build approaches that reason about high-dimensional signals, correlated demand, failure-domain constraints, reserve margins, and reliability targets
- 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
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 coding in Python, R, C++, Java, or similar languages for data analysis, modeling, simulation, or production systems
- Experience communicating complex technical concepts, assumptions, uncertainty, and tradeoffs to technical and non-technical audiences
- Experience influencing technical strategy across multiple teams or organizations
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Skills
Required:Statistical modelingMachine learningData analysis
Nice to have:Optimization
Benefits
- Bonus (as part of compensation)
- Equity (as part of compensation)
- Benefits (as part of compensation)
Last updated Oct 23, 2026. Interested? Apply on the company site.
About Meta
Shop the latest AI glasses and wearable technology from Meta.
Shop the latest AI glasses and wearable technology from Meta. Explore Ray-Ban Meta, Oakley Meta, display glasses, and cutting-edge VR headsets.
AI glassesOakley MetaRay-Ban MetaVR headsetsliquid-ai-recruiting-targetwearable technology
More open roles at Meta
- Research Scientist Intern, 3D-grounded Generalist Model for Robotics (PhD)4d agoRedmond, WA · Artificial Intelligence
- 4d ago
- Research Scientist Intern, Robotics - Meta Reality Labs Research (PhD)4d agoZurich, Switzerland · Artificial Intelligence
- 4d ago
- Product Designer, Instagram4d agoHybrid (New York, NY) · Design