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Software Engineer, Monetization ML Infrastructure

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labremotesenior$347k–$445k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build ML platform powering OpenAI's next-generation ads experiences.
  • Design real-time inference for high-throughput, low-latency workloads.
  • Shape greenfield monetization systems at global scale.

What they offer

  • Equity

Ideal candidate

Experienced infrastructure builder who thrives in greenfield environments and cares about privacy-preserving, user-first monetization. You enjoy owning the full ML lifecycle and turning research into reliable, high-impact production systems.

Requirements

  • 7+ years professional software engineering experience building large-scale distributed systems or ML infrastructure
  • Experience building platforms supporting ML workflows including data processing, training, deployment, or serving
  • Experience with high-volume data pipelines and large-scale online systems
  • Experience designing reliable, low-latency systems with strong operational and observability practices
  • Comfortable working across full ML lifecycle from data and training through deployment and monitoring
  • Experience improving infrastructure performance, scalability, efficiency, and reliability in production

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗