Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 482 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.
1001 - 5000 employees
Staff Machine Learning Engineer - Curation ML
5 days ago
🏄 California – Remote
💵 $176.9k - $364.3k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 482 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.
1001 - 5000 employees
📋 Description
• Millions of people across the world come to Pinterest to find new ideas every day. • Our mission is to help those people find their inspiration and create a life they love. • The Curation team’s mission is to give Pinners the tools they need to envision & create a life they love by making Pinterest the easiest place to access your favorite ideas, collaborate with others and make your dreams a reality. • Apply cutting-edge deep learning and generative AI technologies to solve modeling and ranking problems across different product surfaces. • Build end-to-end machine learning solutions, including data pipelines, feature engineering, model optimization and innovation.
🎯 Requirements
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience. • 6+ years of industry experience. • Experience in machine learning/information retrieval. • Fluent in at least one of the programming languages such as Python, Java or C++. • Fluent in at least one of the deep learning frameworks such as Tensorflow, PyTorch. • Strong domain knowledge, leadership experience, and demonstrated success at scale in at least one of the following areas: recommender systems, information retrieval, reinforcement learning, representation learning. • Experience working on large scale consumer products and production deliverables optimized for cost and operability. • Collaborative leadership with cross-org ML and cross-functional teams. • Passionate about solving complex, challenging and ambiguous problems.
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