Senior Machine Learning Engineer (Core Engineering)

Join Pinterest as a Senior Machine Learning Engineer in Core Engineering. You will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces, while gaining knowledge of how ML works in different areas. You will work in a high-impact environment with quick experimentation and product launches.

Missions

• 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.

Profil recherché

- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)

- 4+ 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)

- Degree in computer science, machine learning, statistics, or related field

- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience

- Passion for applied ML and the Pinterest product

- Expertise in scalable realtime systems that process stream data

- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

- Publications at top ML conferences

- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring