Data Scientist, Integrity Measurement
About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.
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Data Scientist, Integrity Measurement at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.
Day-to-day expectations
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- Own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals.
- Develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets.
- Build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable.
- Own dashboards and metrics reporting for harm verticals.
- Conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps.
- Optimise LLM prompts for the purpose of measurement.
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- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to data scientist, integrity measurement is a high-signal hybrid role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- $293K - $385K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in hybrid environments.
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