Principal Applied Scientist - Ads Ranking & Retrieval
Core
Advance R&D in retrieval, ranking, matching, and generative models; leverage and productionize SLMs/LLMs/LRMs; evolve the Ads ranking platform for usability, reliability, scalability, and efficiency.
Role type
Principal Applied Scientist (Ads Ranking & Retrieval)
Builds
Ads ranking platform, retrieval and ranking models, generative models (SLMs/LLMs/LRMs)
Domain
Advertising, Machine Learning, Large Language Models
Deliverable
production ML models
Required skills
training and inference optimization, designing and scaling recommendation systems, multi-stage ranking pipelines, model alignment, technical leadership, cross-org strategy influence
Preferred skills
expertise in SLMs/LLMs/LRMs, state-of-the-art AI research trends
Technologies
SLMs, LLMs, LRMs
Responsibilities
Advance R&D across retrieval, ranking, matching, and generative models; train, fine-tune, and align models; provide technical leadership and coach distributed teams; follow research trends to keep solutions state-of-the-art
Seniority
Principal, hands-on IC with strategy & mentorship
