Staff Machine Learning Engineer - Curation ML

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. Our team builds product features that are deeply engaging and uniquely Pinterest, including saving and creating Pins, Boards, and Collages, and inspiring Pinners to create a life they love. We apply cutting-edge machine learning algorithms to facilitate saving, help Pinners discover boards, and bring actionability to boards.

What you’ll do:

• 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. Research latest industry and academia advancement to improve existing algorithms.
• Work in a high-impact environment and partner closely with cross functional teams to launch innovative product features and to deliver more personalized product experiences

What we’re looking for:

• 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.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

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