Software Engineer, Monetization ML Infrastructure

What this role involves

This role involves designing and building the machine learning infrastructure for monetization and ads systems at OpenAI, including data pipelines, model training, serving, and experimentation platforms. The engineer will work across the full ML lifecycle and collaborate with ML engineers, product engineers, and data scientists to support high-throughput, low-latency advertising workloads.

Skills this posting asks for

• distributed systems
• machine learning infrastructure
• data pipelines
• model training
• model serving
• experimentation
• monitoring
• a/b testing
• feature engineering
• real-time inference
• large-scale data processing
• ranking models
• conversion prediction
• bidding
• targeting
• observability
• operational excellence
• low-latency systems
• high-throughput systems
• cost optimization
• python
• ml workflows
• production deployment

Requirements

• 7 years of experience
• Level: senior

From the employer’s posting

ABOUT THE TEAM The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization pro…