OpenAI
Software Engineer, Monetization ML Infrastructure
About this role
OpenAI seeks an experienced Software Engineer to build ML infrastructure powering monetization and advertising systems. You'll design platforms supporting the complete ML lifecycle—from data pipelines and model training to real-time serving, experimentation, and monitoring—at global scale with strict reliability and privacy standards.
What you'll do
- Design and build ML infrastructure for monetization and ads systems
- Develop large-scale data pipelines processing impressions, clicks, conversions, and marketplace signals
- Create scalable model training platforms for ranking, prediction, bidding, and optimization workloads
- Build real-time inference and serving infrastructure with low-latency, high-throughput requirements
- Design A/B testing and experimentation frameworks for model evaluation and ramping
- Optimize training efficiency, inference latency, reliability, and infrastructure costs
What they're looking for
- Distributed systems design and implementation
- ML infrastructure and platforms
- Large-scale data pipeline development
- Real-time serving systems and inference optimization
- Model training and deployment systems
- Experimentation and A/B testing frameworks
- System reliability and observability practices
- Performance optimization and scalability
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Walk us through a large-scale data pipeline you've built. How did you handle data quality, latency, and correctness at that scale?
- Describe your experience with ML model serving infrastructure. What were the key challenges in meeting low-latency and high-throughput requirements?