Principal Applied Scientist, FAIM (Full Funnel Agentic Intelligence and Models)
Core
Building foundational optimization science and agentic AI systems for next-generation advertising, including campaign recommendation, budget allocation, and long-term sales modeling.
Role type
Principal Applied Scientist (Strategy & Research)
Builds
Multimodal foundation models, LLM-driven agents, and optimization solutions for advertising workflows.
Domain
Advertising technology and machine learning
Deliverable
production ML models
Required skills
predictive modeling, algorithm design, optimization science, incrementality measurement, long-term sales modeling, experimental design, technical leadership, Java/C++/Python programming
Preferred skills
novel algorithm creation, state-of-the-art research, peer-reviewed publications, 10+ years industry/academia experience
Technologies
Java, C++, Python, LLMs, multimodal models
Responsibilities
Define long-term scientific vision for agent evaluations, translate ambiguous advertiser needs into concrete roadmaps, prototype and productionize optimization solutions, design large-scale experiments, partner with engineering on technical contracts, mentor scientific talent, publish research.
Seniority
Principal, strategy & mentorship