Principal Research Scientist
Core
Lead research and production deployment of large-scale algorithms for budget pacing, bid optimization, and marketplace supply/demand balancing using agentic AI workflows.
Role type
Principal Research Scientist (IC6)
Builds
High-scale optimization stack for programmatic ad platform
Domain
Computational advertising, real-time bidding, control theory, machine learning
Deliverable
production ML models
Required skills
convex/stochastic optimization, control theory, Python, Java, C++, SQL, Spark, agentic AI workflows, automated experiment orchestration, LLM-driven research synthesis
Preferred skills
computational advertising, real-time bidding auctions, dual-sided marketplace design, peer-reviewed publications in optimization/control theory, system-level re-architectures
Technologies
Cursor, GitHub Copilot, Gemini, Claude, ChatGPT
Responsibilities
Lead research and architectural design of large-scale algorithms; Architect and implement agentic AI workflows; Provide technical strategy for DSP optimization ecosystem; Apply control theory and optimization to real-time marketplace dynamics; Direct AI-assisted code refactoring and testing; Own multi-quarter research initiatives from formulation to rollout; Mentor senior scientists and engineers.
Seniority
Principal, hands-on IC with strategy & mentorship
