🛠 Tech Stack

💼 About This Role

You'll design measurement frameworks for tracking unsafe content prevalence across Pinterest's platform. You will build sampling frameworks and data pipelines to directly influence platform safety metrics and executive visibility.

🎯 What You'll Do

• Design ML-assisted sampling techniques for prevalence measurement
• Apply statistical methods to calculate policy violation rates
• Build large-scale data pipelines for safety labeling
• Orchestrate dashboards and production workflows for monitoring

📋 Requirements

• 5+ years analyzing data in fast-paced environments
• Hands-on experience in Trust Safety or prevalence measurement
• Deep familiarity with statistical measurement challenges
• Strong Python and SQL/Spark skills

✨ Nice to Have

• Experience with complex ML pipelines and up-sampling
• Ability to drive ambiguous measurement projects end-to-end

🎁 Benefits & Perks

• 💰 Equity included in compensation
• 🏖️ Flexible work with in-person collaboration 1-2 times/quarter

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3Onsite Interviews (3-4 rounds)· 4 hours