[Remote] Machine Learning Engineer, Monetization Engineering

Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that inspires creativity and helps users plan memorable experiences. They are seeking a Machine Learning Engineer to develop and execute a vision for the machine learning technology stack within Ads, focusing on personalizing user experiences and improving ML models across various product surfaces.ResponsibilitiesBuild cutting edge technology using the latest advances in deep learning and machine learning to personalize PinterestPartner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areasUse data driven methods and leverage the unique properties of our data to improve candidates retrievalWork in a high-impact environment with quick experimentation and product launchesKeep up with industry trends in recommendation systemsLeverage LLMs to enhance content understandingSkills2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)Bachelor's degree in computer science, machine learning, statistics, a related field or equivalent experienceEnd-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systemsPublications at top ML conferencesExperience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoringFamiliarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow accelerationExpertise in scalable realtime systems that process stream dataPassion for applied ML and the Pinterest productBackground in computational advertisingBenefitsThe position is also eligible for equity.Information regarding the culture at Pinterest and benefits available for this position can be found here.Company OverviewPinterest is a visual bookmarking tool for saving and discovering creative ideas. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.pinterest.com/.