Principal Applied Scientist - Auction & Bidding
Core
Designing, implementing, and analyzing bidding strategies, auction mechanisms, and automation algorithms using optimization, control theory, AI, and machine learning to improve marketplace health and advertiser ROI.
Role type
Principal Applied Scientist (Auction & Bidding)
Builds
Large-scale auction mechanisms, automation algorithms for advertisers, and production systems for marketplace optimization.
Domain
AdTech / Marketplace Economics / Optimization
Deliverable
production ML models | product features
Required skills
optimization, control theory, advanced statistics, machine learning, causal reasoning, large-scale system design, experiment design, predictive analytics
Preferred skills
Auto-Bidding, Auction Design
Technologies
AI, ML, Statistics, Econometrics
Responsibilities
Designing and prototyping auction mechanisms; overseeing large-scale long-term experiments; developing models for causal reasoning; implementing automation algorithms for advertisers; optimizing the marketplace at large scale.
Seniority
Principal, hands-on IC with strategy & mentorship
