Software Engineer, Implicit Signals Platform

OpenAI

San Francisco (CA)

On-site

USD 180,000 - 260,000

Full time

4 days ago
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Job summary

OpenAI is seeking a software engineer to build and evolve our classification and evaluation platform. You will design services, online and offline pipelines, and tools that help researchers turn an idea into a working measurement and iterate on it quickly.

This role combines software and data engineering with hands-on production ownership. You\'ll shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads evolve, partnering with ML

Qualifications

  • Experience designing, building, and operating software services or distributed systems at scale.
  • Strong fundamentals in API design, concurrency, caching, performance, and failure recovery.
  • Track record of owning software from design through deployment and operation.

Responsibilities

  • Design and build software services and APIs for configuring, running, and managing classifiers and evaluations.
  • Build and operate online and offline classification pipelines for reliable, scalable execution.
  • Improve model-serving performance including throughput, latency, and compute utilization.
  • Build tools to simplify experimentation, debugging, and iteration for researchers and data scientists.
  • Own production reliability, observability, and incident response, reducing operational burden.
  • Partner with ML engineers to bring new classification capabilities into production.
  • Work with post-training researchers to understand workflows and shape the product.

Skills

Software design and building
API design
Concurrency
Performance optimization
Production ownership

Job description

OpenAI is seeking a software engineer to build and evolve our classification and evaluation platform. You will design services, online and offline pipelines, and tools that help researchers turn an idea into a working measurement and iterate on it quickly.

This role combines software and data engineering with hands-on production ownership. You\'ll shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads evolve, partnering with ML

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