Applied Scientist II, Sponsored Products and Brands - Advertiser Growth and Strategies
Core
Build agentic systems that automatically optimize advertisers' campaigns by holistically managing targeting, bids, budgets, and placements using LLMs, auction simulations, and optimization algorithms.
Role type
Senior IC applied scientist (agentic systems)
Builds
Production agentic systems for campaign optimization
Domain
Advertising technology, Generative AI, Auction systems
Deliverable
production ML models
Required skills
LLM-based agent design, numerical optimization, parallel and distributed computing, data mining, algorithm design, tool use integration, long-horizon reasoning, model customization (tuning, preference optimization)
Preferred skills
High-velocity ad product development, Unix/Linux, professional software development
Technologies
LLMs, auction simulations, optimization routines, Java, C++, Python
Responsibilities
Build agents that reason across interconnected campaign controls; encode auction dynamics into agent reasoning; curate datasets for training and evaluation; develop evaluation and safety methods for live campaign deployment; write production-quality code for critical-path agent components.
Seniority
Senior, hands-on IC
