ML Infra Engineer for Monetization & Ads Platforms

OpenAI; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

OpenAI is seeking an experienced Software Engineer to build the ML infrastructure powering monetization and ads systems. You will design the platform layer enabling teams to build, train, deploy, serve, monitor, and continuously improve ML models used across advertising and monetization products.

You will handle large-scale data pipelines, training systems, model serving, and real-time inference with strict latency, reliability, and privacy requirements.

Qualifications

• 7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure.
• Experience building platforms that support ML workflows, including data processing, feature engineering, model training, deployment, or serving.
• Worked with high-volume data pipelines and infrastructure handling large-scale online systems.
• Experience designing reliable, low-latency systems with strong operational and observability practices.
• Comfortable working across the ML lifecycle, from data and training systems through deployment, experimentation, and monitoring.
• Experience improving infrastructure performance, scalability, efficiency, and reliability in production environments.

Responsibilities

• 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.
• 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.

Skills

Distributed systems

ML infrastructure

Data pipelines

Model training

Model serving

Low-latency systems

Observability

AB testing

Collaboration

Job description

OpenAI is seeking an experienced Software Engineer to build the ML infrastructure powering monetization and ads systems. You will design the platform layer enabling teams to build, train, deploy, serve, monitor, and continuously improve ML models used across advertising and monetization products.

You will handle large-scale data pipelines, training systems, model serving, and real-time inference with strict latency, reliability, and privacy requirements.