As a Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. We are building the world's first discovery engine, serving up millions of recommendations to an incredibly loyal user base. At the same time, our teams are building one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers. In this role, you can join a team in any of the following areas: image recognition, user modeling, recommender systems, natural language processing, and big data analytics. As you kickstart your career at Pinterest, you’ll help us maneuver through crazy growth and insane scale while pinpointing tomorrow’s engineering challenges.

What you’ll do:

• 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 model
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
• Design, build, and test models to predict engagement for notifications (push, emails, in-app notifications)
• Build content recommendation systems to power our push, email, and in-app notifications
• Work on state-of-the-art large-scale applied machine learning projects
• Scope and independently solve moderately complex problems

What we’re looking for:

•  Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
•  Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc all ok)
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
•  Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Strong communicator and team player. Being able to find solutions for open-ended problems
• Must graduate between December 2023 and September 2024

This position is not eligible for relocation assistance.

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