Senior Applied Scientist
Core
Lead the development of cutting-edge AI models for ad selection, ranking, user interaction prediction, and campaign optimization to improve user engagement and advertiser ROI.
Role type
Senior Applied Scientist (AI/ML)
Builds
Large-scale AI/ML models for online advertising and recommendation systems
Domain
Online advertising, search engines, recommendation systems
Deliverable
production ML models
Required skills
Deep Learning, Reinforcement Learning, Causal Inference, large-scale model design, model deployment, experimental design (online/offline), Python, C#, Java
Preferred skills
Publications in top-tier conferences (NeurIPS, ICML, CVPR, SIGIR, KDD, ACL, EMNLP, ICLR, WWW, WSDM), background in developing/modifying deep learning algorithms for efficiency, experience in online advertising/search/recommendation systems
Technologies
PyTorch, TensorFlow
Responsibilities
Design, build, and deploy models that operate at web scale; perform large-scale online and offline experiments to validate model performance; optimize advertiser outcomes and user engagement.
Seniority
Senior, hands-on IC
