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Psl Scale For Modeling Jobs in California (NOW HIRING)

OpenAI

Performance Modeling Lead

Los Angeles, CA · On-site

$130 - $180/hr

OpenAI's Hardware organization develops system and infrastructure solutions designed for the unique ... Have deep knowledge of AI/ML workloads, including training and/or inference at scale. Understand ...

Scale AI

Engagement Management Lead

San Francisco, CA · On-site

Hands-on experience working with data or AI/ML models - through engineering, research, or a technical product role. Compensation packages at Scale for eligible roles include base salary, equity, and ...

Qualcomm

SoC Modeling Engineer

San Diego, CA · On-site

$115K - $173K/yr

Modeling of electrical systems and circuits, at component and transistor level * Modeling of ... scale for this job code for the location for which it has been posted. Even more importantly ...

Scale AI

Engagement Management Lead

San Francisco, CA · On-site

Hands-on experience working with data or AI/ML models - through engineering, research, or a technical product role. Compensation packages at Scale for eligible roles include base salary, equity, and ...

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Research Scientist, Infrastructure Modeling and Reliability

Meta

Menlo Park, CA • On-site

$271K/yr

Full-time

Posted 27 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

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 industry-leading 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. The ideal candidate 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.
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 senior 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.

Minimum 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
  • PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, Electrical Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • 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
  • Experience with infrastructure, capacity planning, power systems, energy systems, data centers, reliability engineering, distributed systems, supply-chain optimization, or resource allocation
  • Experience building models that support operational decisions under explicit reliability, safety, cost, or utilization constraints
  • Experience developing peak-demand forecasts, confidence intervals, risk estimates, anomaly detection, or backtesting frameworks
  • Experience applying optimization, operations research, or decision science to large-scale resource planning
  • 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 mentoring senior technical contributors and building scientific communities across organizations

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$271,000/year to $347,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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