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The Integrity pillar within Applied Foundations is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. As the systems that address some of our most severe usage harms become more mature, we’re adding data scientists to help us measure robustly the prevalence of these problems and the quality of our response to them. We are looking for experienced trust and safety data scientists to help us improve, productionise and monitor measurement for complex, actor- and sometimes network-level harms. A data scientist in this role will own measurement and metrics across several established harm verticals, including estimating prevalence for on-platform (and sometimes off-platform!) harm, and analyses to identify gaps and opportunities in our responses.
Job Responsibility:
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
Collaborate w/ other safety teams to understand key safety concerns and create relevant policies that will support safety needs
Provide metrics for leadership and external reporting
Develop automation to scale yourself, leveraging our agentic products
Requirements:
Senior DS with trust and safety experience that can drive measurement direction
Deep statistics skills, specifically around sampling methods and prevalence estimation of complicated problem areas (ideally activity- rather than content-based)
Experience working with severe and sensitive harm areas like child safety or violence
Excellent communicator, and have strong cross-functional collaboration skills
Capable in data programming languages (R or python, SQL)
Nice to have:
Experience with AI harms or leveraging AI for measurement
What we offer:
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