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 & Hands-on IC)
Builds
Multimodal foundation models, LLM-driven agents, and optimization solutions for advertising workflows.
Domain
Advertising technology, Reinforcement Learning, Optimization Science
Deliverable
production ML models
Required skills
Predictive modeling, algorithm design, Java/C++/Python programming, leading scientific teams, translating ambiguous business needs into technical roadmaps, large-scale experiment design, productionizing models at scale, mentorship
Preferred skills
10+ years experience, novel algorithm creation, advancing state of the art, peer-reviewed publications in premier venues
Technologies
RL Gym, Java, C++, Python
Responsibilities
Define long-term scientific vision for RL Gym training; Invent models for joint budget allocation and incrementality measurement; Take innovations from prototype to production; Design and lead large-scale experiments; Partner with engineering to define technical contracts and serving systems; Raise technical bar through mentorship and design reviews; Grow scientific talent and publish research.
Seniority
Principal, strategy & mentorship