Machine Learning Engineer (EPD Ads)

Join Pinterest as a Machine Learning Engineer in the Monetization Engineering team. In this role, you will develop and execute a vision for the evolution of the machine learning technology stack within Ads. You will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will also partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces. This is a high-impact role with quick experimentation and product launches.

- Develop and execute a vision for the evolution of the machine learning technology stack within Ads, focusing on building cutting-edge technology using 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 to enhance candidate retrieval. - Stay updated with industry trends in recommendation systems and leverage large language models (LLMs) to enhance content understanding.

- Degree in computer science, statistics, or related field - 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) - End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) - Publications at top ML conferences - M.S. or PhD in Machine Learning or related areas - Expertise in scalable realtime systems that process stream data - Passion for applied ML and the Pinterest product - Background in computational advertising