5 months ago
Base Salary
$293k - $441k/yr
Responsibilities
- Design and build ML infrastructure for monetization and advertising systems.
- Develop large-scale data pipelines processing impressions, clicks, conversions, advertiser data, marketplace signals, and other model inputs.
- Create scalable training platforms for ranking, conversion prediction, quality prediction, bidding, targeting, measurement, and optimization workloads.
- Build systems that move models safely and reliably from experimentation into production.
- Develop real-time inference and model-serving infrastructure with strict latency, throughput, reliability, and availability requirements.
- Design experimentation frameworks for A/B testing, holdouts, model comparisons, ramping strategies, and measurement at scale.
- Optimize training efficiency, inference latency, model throughput, infrastructure reliability, and cost effectiveness.
- Collaborate with machine learning engineers, product engineers, data scientists, and monetization teams.
Requirements
- 7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure.
- Experience building platforms for machine learning workflows, including data processing, feature engineering, model training, deployment, or serving.
- Experience with high-volume data pipelines and large-scale online systems.
- Experience designing reliable, low-latency systems with strong operational and observability practices.
- Comfort working across the machine learning lifecycle, from data and training systems through deployment, experimentation, and monitoring.
- Experience improving infrastructure performance, scalability, efficiency, and reliability in production environments.
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.