Data Scientist, Inference Capacity Optimization
OpenAI · Scaling
- Location
- San Francisco, California, United States · Remote
- Metro
- San Francisco Bay Area
- Workplace
- Hybrid
- Level
- Senior
- Type
- Full-time
- Pay
- $293K–$325K/yr (published by employer)
- Posted
- 1 month ago
- Source
- Ashby
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What the posting covers
About the Role
OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity…
Key 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…
Qualifications
MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong expertise…
Preferred Skills
Capacity planning Distributed systems AI infrastructure Datacenter design and buildout Queueing theory Time-series forecasting Operations research Supply-demand modeling Reinforcement learning for resource allocation Cost optimization
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our…
Excerpts only. The employer’s page has the complete posting.