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Software Engineer, Implicit Signals

OpenAI · San Francisco

hybridunknown$347,000–$445,000Posted Sep 29, 2026APIsdistributed systemsmodel servingdata engineeringpipelinesobservabilitycachingconcurrency

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About this role

## About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale—helping researchers assess changes and improve models and products. We work closely with researchers and data scientists and have broad ownership of the software that makes these capabilities available. Our work spans real-time systems, data engineering, model serving, and tools for experimentation, with careful attention to performance, reliability, and privacy. ## About the Role We’re looking for a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers and data scientists 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 and requirements evolve. ## What You’ll Do - Design and build software services and APIs for configuring, running, and managing classifiers and evaluations. - Build and operate online and offline classification pipelines that support reliable, efficient execution at scale. - Improve model-serving performance, including throughput, latency, concurrency, and compute utilization. - Build tools that make experimentation, debugging, and iteration straightforward for researchers and data scientists. - Own production reliability, observability, and incident response, and reduce the operational burden of running the platform. - Partner with machine learning engineers to bring new classification capabilities into production. - Work closely with post-training researchers and data scientists to understand their workflows, identify high-impact improvements, and shape the product. ## You Might Thrive If You Have - 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. - A track record of owning software from initial design through deployment and ongoing operation. - Strong product judgment and an interest in working directly with technical users. - Comfort with ambiguous problems and broad ownership across multiple parts of a system. - Fluency in using AI agents to move quickly across multiple workstreams in a fast-paced environment. - Interest in machine learning, data science, and statistics; experience with model serving, ML platforms, or inference optimization is a plus. ## About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI capabilities and seek to safely deploy them through our products. OpenAI is an equal opportunity employer. For additional information, please see OpenAI’s EEO policy statement and related privacy/background-check information in the original posting.

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