OpenAI
Software Engineer, Monetization ML Infrastructure
$347K–$445K
San Francisco · Hybrid · Full-time · Posted Jun 1, 2026
- Experience
- 7+ years of professional software engineering experience.
About the job
Build and operate machine learning infrastructure for monetization and advertising systems, spanning data pipelines, model training and serving, experimentation, and monitoring.
What you'll do
- Build large-scale data pipelines and scalable training platforms for advertising and monetization models.
- Develop production model deployment, real-time inference, serving, and experimentation systems.
- Improve platform performance, reliability, latency, throughput, and cost effectiveness; collaborate across engineering and data science teams.
What they ask for
- Experience building large-scale distributed systems or machine learning infrastructure.
- Experience building platforms for machine learning workflows, such as data processing, feature engineering, training, deployment, or serving.
- Experience with high-volume data pipelines and large-scale online systems.
- Experience designing reliable, low-latency systems with operational and observability practices.
Pay
$347K – $445K (base salary)
AI focus
Build infrastructure across the machine learning lifecycle for advertising and monetization models, including ranking, conversion and quality prediction, bidding, targeting, measurement, and optimization.
Model-written summary · the original posting is authoritative