Related skills
sql python machine learning spark data pipelines📋 Description
- Design ML-assisted sampling to measure unsafe content prevalence.
- Apply rigorous statistical methods to measurement in complex interactions.
- Build large-scale data pipelines for safety labeling.
- Collaborate offline dashboards and online safety workflows.
- Translate safety policies into prompts and labeler workflows.
🎯 Requirements
- 5+ years analyzing data in fast-paced, web-scale settings.
- Experience in platform safety or Trust & Safety.
- Deep familiarity with measurement challenges in complex ecosystems.
- Design/calibrate measurement frameworks; manage logging tables; define metrics.
- Python and SQL/Spark strong; experience with ML pipelines and up-sampling.
- Excellent written and verbal communication; present metrics to execs.
🎁 Benefits
- Equity eligibility.
- Flexible, remote-friendly with quarterly in-person collaboration nationwide.
- Inclusive culture and equal-opportunity employer.
- Opportunity to influence platform safety metrics.
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