2 hours ago
Base Salary
$347k - $445k/yr
Responsibilities
- Design and build software services and APIs for configuring, running, and managing classifiers and evaluations.
- Build and operate online and offline classification pipelines at scale.
- Improve model-serving performance across throughput, latency, concurrency, and compute utilization.
- Develop tools for experimentation, debugging, and rapid iteration by researchers and data scientists.
- Own production reliability, observability, incident response, and operational burden reduction.
- Partner with machine learning engineers to bring classification capabilities into production.
- Work with researchers and data scientists to understand workflows, prioritize improvements, and shape the product.
Requirements
- Experience designing, building, and operating software services or distributed systems at scale.
- Strong fundamentals in API design, concurrency, caching, performance, and failure recovery.
- Ability to investigate complex production problems and make sound architectural tradeoffs.
- Track record of owning software from initial design through deployment and ongoing operation.
- Strong product judgment and interest in working directly with technical users.
- Comfort with ambiguous problems and broad ownership across multiple system areas.
- Fluency in using AI agents across multiple workstreams.
- Interest in machine learning, data science, and statistics.
- Experience with model serving, ML platforms, or inference optimization is a plus.
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.