# Software Engineer, Implicit Signals **Company**: OpenAI **Location**: San Francisco **Work arrangement**: hybrid **Experience**: senior **Job type**: Full time **Salary**: $347K – $445K **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q124605186 **Apply**: https://jobs.ashbyhq.com/openai/c7bcdaec-9714-44b0-8ba8-adc824594b54?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_98474660-3a6 ## Description ## Compensation The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits. - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts - Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) - 401(k) retirement plan with employer match - Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) - Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees - 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law) - Mental health and wellness support - Employer-paid basic life and disability coverage - Annual learning and development stipend to fuel your professional growth - Daily meals in our offices, and meal delivery credits as eligible - Relocation support for eligible employees - Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. ## 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. ## 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. ## Responsibilities - 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. ## 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. - 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. ## Skills ### Required - software engineering - distributed systems - API design - concurrency - caching - performance - failure recovery - machine learning - data science - statistics ### Nice to have - model serving - ML platforms - inference optimization --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/c7bcdaec-9714-44b0-8ba8-adc824594b54?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)