Data Scientist, Inference Capacity Optimization

Posted

OpenAISan Franciscofull_timemid

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

  • Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency.
  • Develop forecasting models for inference demand across products, regions, and model families.
  • Analyze production workloads to identify latency bottlenecks and capacity constraints.
  • Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies.
  • Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs.

Soft Skills

StatisticsCausal AnalysisStatistical InferenceForecastingOperations ResearchCapacity PlanningTime-Series ForecastingQueueing TheoryReinforcement LearningCost OptimizationExecutive Communication

Culture

Mission-DrivenInclusive HiringCross-Functional Teams

Requirements

Required: MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline
Regions: Us

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