Senior Machine Learning Engineer (Engineering, Product, and Design Ads)

Join Pinterest as a Senior Machine Learning Engineer in the Ads ML Engineering team. You will develop and execute a vision for the evolution of the machine learning technology stack within Ads, build cutting-edge technology using the latest advances in deep learning and machine learning, and partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces. You will work in a high-impact environment with quick experimentation and product launches, and keep up with industry trends in recommendation systems.

- Develop and execute a vision for the evolution of the machine learning technology stack within Ads, focusing on cutting-edge technology and the latest advances in deep learning and machine learning. - Collaborate with cross-functional teams to experiment and improve machine learning models for various product surfaces, leveraging data-driven methods and the unique properties of Pinterest's data. - Stay up-to-date with industry trends in recommendation systems and leverage large language models (LLMs) to enhance content understanding and improve candidate retrieval.

- Degree in computer science, statistics, or related field; or equivalent experience - Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring - Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration - End-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 systems - 2+ 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) - M.S. or PhD in Machine Learning or related areas - Passion for applied ML and the Pinterest product - Publications at top ML conferences - Expertise in scalable realtime systems that process stream data - Background in computational advertising