The opportunity
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…
What you'll do
Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems.
Develop large-scale data pipelines that process impressions, clicks,: conversions, advertiser data, marketplace signals, and other inputs used to train and improve machine learning models.
Create scalable model training platforms that support ranking, conversion: prediction, quality prediction, bidding, targeting, measurement, and optimization workloads.
Develop systems that safely and reliably move models from experimentation into production environments.
Build and improve real-time inference and serving infrastructure with strict: requirements for latency, throughput, reliability, and availability.
Design experimentation frameworks that enable A/B testing, holdouts, model: comparisons, ramping strategies, and measurement at scale.
What they're looking for
- Improve platform performance through optimization of training efficiency,: inference latency, model throughput, infrastructure reliability, and cost effectiveness.
- Collaborate closely with machine learning engineers, product engineers, data: scientists, and monetization teams to accelerate the development and deployment of advertising systems.
- Have 7+ years of professional software engineering experience building: large-scale distributed systems or machine learning infrastructure.
- Have experience building platforms that support machine learning workflows,: including data processing, feature engineering, model training, deployment, or serving.
