Staff Machine Learning Engineer, Ads Ranking

Pinterest - Seattle, WA

Full-time - Senior

Seattle, WA

Professional, Scientific, and Technical Services

About the position

The Staff Machine Learning Engineer for Ads Ranking at Pinterest will be responsible for developing and executing a vision for the machine learning technology stack related to Ads Ranking. This role involves tackling challenges in user sequence modeling, large models, and domain-specific issues to enhance the machine learning models that power ad ranking and delivery, ultimately connecting Pinners with partners in a unique marketplace.

Responsibilities

• Develop state-of-the-art applied machine learning projects for lightweight ranker, engagement modeling, and conversion modeling.
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency.
• Develop new techniques for inferring user interests from online and offline activity.
• Mine text, visual, and user signals to better understand user intention.
• Collaborate with product and sales teams to design and implement new ad products.

Requirements

• MS or PhD degree in Computer Science, Statistics, or related field.
• 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing.
• 2+ years of experience leading projects/teams.
• Strong mathematical skills with knowledge of statistical methods.
• Cross-functional collaborator and strong communicator.

Nice-to-haves

• Background in computational advertising is preferred, but not required.

Benefits

• Equity eligibility based on position and experience.
• Base salary range of $148,049 — $304,496 USD.