Machine Learning Engineer (Core Engineering)

Join Pinterest as a Machine Learning Engineer in Core Engineering. You will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize the Pinterest experience. You will collaborate with various teams to experiment and improve ML models for different product surfaces, utilize data-driven methods to enhance candidate retrieval, and work in a high-impact environment with quick experimentation and product launches. Candidates should have a M.S. or PhD in Machine Learning or related areas, 2+ years of industry experience applying machine learning methods, and expertise in scalable real-time systems that process stream data.

- Construire des technologies de pointe en utilisant les dernières avancées en apprentissage profond et en apprentissage automatique pour personnaliser Pinterest. - Collaborer étroitement avec les équipes de Pinterest pour expérimenter et améliorer les modèles d'apprentissage automatique pour diverses surfaces de produits. - Utiliser des méthodes basées sur les données et tirer parti des propriétés uniques de nos données pour améliorer la récupération des candidats.

- 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 - M.S. or PhD in Machine Learning or related areas - 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) - Passion for applied ML and the Pinterest product - Expertise in scalable realtime systems that process stream data