Principal Applied Scientist - Ads Ranking & Retrieval
Core
Lead end-to-end AI Economy Trust & Safety projects, focusing on identity resolution, risk modeling, and detection of abusive behavior in high-volume user systems.
Role type
Principal Applied Scientist (Ads Ranking & Retrieval / Trust & Safety)
Builds
Production risk detection systems, identity resolution pipelines, and product controls for abuse prevention.
Domain
Fintech / Ad-tech / Trust & Safety
Deliverable
production ML models
Required skills
Identity resolution, clustering, applicant-risk modeling, account-risk modeling, anomaly detection, graph methods, sequence models, large language models, adversarial robustness, attacker economics analysis, mentoring, technical strategy
Preferred skills
Patents, peer-reviewed publications, open-source contributions in ML/security/risk
Technologies
Graph methods, sequence models, large language models, supervised learning
Responsibilities
Define problem scope and execution plans for Trust & Safety projects; Develop detection methods to distinguish legitimate use from abuse; Select and evaluate machine learning approaches; Establish evaluation frameworks for model quality and drift; Translate detection findings into product controls; Mentor scientists and engineers
Seniority
Principal, hands-on IC with strategic oversight
