As a Member of Technical Staff on Evals, you'll own how we measure AI Employee performance on the job. **Areas you may work in:** * Evaluation systems: datasets, offline replay, scorers, and regression alerts * Feedback loops for models and agents * Autonomous failure analysis * Defining what good, degraded, and failed runs look like, and alerting on them **You may be a good fit if you:** * Have built evaluation or measurement systems, such as AI evals, experimentation, ranking, or search quality * Can turn ambiguous quality questions into concrete metrics and decisions * Have strong software engineering fundamentals and ship production systems * Are comfortable where there are few established patterns * Want to work in person in San Francisco **Even better:** * You've shipped LLM systems to production and learned where they break * You have strong data instincts and work well with researchers * You contribute to open source projects
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