infrastructure
Posted Jun 1Software Engineer, Monetization ML Infrastructure
at openai
San Francisco, United StatesRemote
Responsibilities
- - 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.
- - Build and improve real-time inference and serving infrastructure with strict
- - Design experimentation frameworks that enable A/B testing, holdouts, model comparisons, ramping strategies, and measurement at scale.
- - Collaborate closely with machine learning engineers, product engineers, data scientists, and monetization teams to accelerate the development and deployment of advertising systems.
Requirements
- YOU WILL: - Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems.
- experience building large-scale distributed systems or machine learning infrastructure. - Have
- experience designing reliable, low-latency systems with strong operational and observability practices. - Are comfortable working across the ML lifecycle, from data and training systems through deployment, experimentation, and monitoring. - Have
- About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence
Experience
- You might thrive in this role if you: - Have 7+ years of professional software engineering
Additional details
- requirements for latency, throughput, reliability, and availability.
- - Improve platform performance through optimization of training efficiency, inference latency, model throughput, infrastructure reliability, and cost effectiveness.
- experience improving infrastructure performance, scalability, efficiency, and reliability in production environments.