Research Scientist, Infrastructure Modeling and Reliability
$271,000/year
Apply now (opens in a new tab)Research Scientist, Infrastructure Modeling and Reliability
L7
$271,000/year
Occupations
Computer and Information Research ScientistsData ScientistsComputer Systems Engineers/ArchitectsIndustries
Other Scientific and Technical Consulting ServicesResearch and Development in the Physical, Engineering, and Life SciencesEngineering Services- Research Scientist, Infrastructure Modeling and Reliability 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 appropriate external publications, talks, or industry engagement
- Experience with infrastructure, capacity planning, power systems, energy systems, data centers, reliability engineering, distributed systems, supply-chain optimization, or resource allocation
- Experience developing peak-demand forecasts, confidence intervals, risk estimates, anomaly detection, or backtesting frameworks
- Experience mentoring senior technical contributors and building scientific communities across organizations
- Demonstrated record of industry-level technical leadership, such as defining new research directions, influencing company strategy, publishing in leading venues, or shaping external technical standards
- Experience building models that support operational decisions under explicit reliability, safety, cost, or utilization constraints
- Experience applying optimization, operations research, or decision science to large-scale resource planning
- Experience modeling high-dimensional, sparse, noisy, or strongly correlated data in production environments
- Experience with time-series forecasting, probabilistic forecasting, Bayesian modeling, extreme-value modeling, causal inference, stochastic processes, simulation, or uncertainty quantification
- Public Compensation:$271,000/year to $347,000/year + bonus + equity + benefits
Level
ManagerL7
Salary
$271,000/year
Location
Austin, TX
Occupation
Computer and Information Research Scientists
Industry
Other Scientific and Technical Consulting Services
Posted
2 days ago
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