Machine Learning Engineer, Monetization Engineering

You will build cutting-edge ML technology to personalize experiences and drive monetization through data-driven models. Collaborate with cross-functional teams across product surfaces to improve ML models for Homefeed, Ads, Growth, Shopping, and Search while gaining knowledge of ML applications across areas. Leverage data-driven methods and the unique properties of platform data to improve candidate retrieval and ranking. Work in a high-impact environment with rapid experimentation and product launches. Keep up with industry trends in recommendation systems and apply LLMs to enhance content understanding. Qualifications include 2+ years of industry ML experience, degree, experience building end-to-end pipelines and large-scale ML systems, with practical knowledge of large-scale recommender systems or ads systems.