Staff Machine Learning Engineer, Ads Ranking

Pinterest - Palo Alto, CA

Full-time - Senior

Palo Alto, CA

Professional, Scientific, and Technical Services

About the position

The Staff Machine Learning Engineer for Ads Ranking at Pinterest is responsible for developing and executing a vision for the machine learning technology stack that enhances the ads ranking process. This role involves tackling complex challenges in user sequence modeling, large models, and domain-specific issues to improve the effectiveness of ads ranking and delivery, ultimately connecting Pinners with relevant products from partners.

Responsibilities

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

Requirements

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

Nice-to-haves

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

Benefits

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