Sr. Staff Machine Learning Engineer, Ads Ranking

Pinterest - San Francisco, CA

Full-time - Senior

San Francisco, CA

Professional, Scientific, and Technical Services

About the position

The Sr. Staff Machine Learning Engineer for Ads Ranking at Pinterest is responsible for leading the technical direction and development of advanced machine learning projects within the ads conversion modeling team. This role involves designing and building large-scale machine learning models to enhance user ads action prediction, as well as mentoring engineers and collaborating with product and sales teams to create innovative ad products. The position focuses on tackling challenges related to user sequence modeling, embedding features, and RoAS optimization, all aimed at connecting Pinners with relevant products in a unique marketplace.

Responsibilities

• Lead the tech direction and development of state-of-the-art applied machine learning projects for the ads conversion modeling team.
• Coach and mentor engineers for the conversion modeling team.
• 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 activity.
• Mine text, visual, and user signals to better understand user intention.
• Work 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 $206,456 — $360,985 USD.