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 - Applied Science
March 24
🏄 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. • You'll be challenged to take on work that upholds this mission and pushes Pinterest forward. • You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. • Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. • You'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists, and machine learning engineers. • You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in areas like computer vision, graph neural networks, natural language processing, inclusive AI, reinforcement learning, user modeling, and recommender systems. • Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems. • Collect, analyze, and synthesize findings from data and build intelligent data-driven models. • Write clean, efficient, and sustainable code. • Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads, and search. • Scope and independently solve moderately complex problems.
🎯 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 • Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) • Experience in research and in solving analytical problems • Cross-functional collaborator and strong communicator • Comfortable solving ambiguous problems and adapting to a dynamic environment
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