Manager II, Machine Learning Engineering

Pinterest is 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/products. We’re looking for an Engineering Manager with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You’ll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest’s business success.

What you’ll do:

• Manage and grow the engineering team, providing technical vision and long-term roadmap.
• Understand the conversion data and improve the ads conversion prediction models by improving label quality and volume, as well as building innovative modeling solutions.
• Effectively collaborate and partner with several cross functional teams to improve model performance/efficiency.
• Mentor and grow ML engineers to allow them to become experts in modeling/conversion prediction.

What we’re looking for:

• M.S./ PhD degree in a relevant field such as Computer Science, Statistics or equivalent experience.
• 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, natural language processing and/or computer vision.
• 1-2 years of experience leading projects/teams either as Tech Lead Manager or Engineering Manager.
• Cross-functional collaborator and strong communicator.
• Strong mathematical skills with knowledge of statistical methods.
• Background in computational advertising is preferred.

Relocation Statement:

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

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Last updated on Mar 19, 2024