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Staff Machine Learning Engineer - Ads Modules

Pinterest

Salary not specified
Sep 3, 2025
San Francisco, CA, US • Palo Alto, CA, US • Seattle, WA, US
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Within the Ads Modules, Diversity & Verticals team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. We're a high-impact group that owns the entire lifecycle of our products, from initial ideation to production deployment. We're driven by a passion for solving complex, large-scale problems at the intersection of machine learning, user experience, and business growth.

Requirements

  • MS or PhD degree in Computer Science, Machine Learning or related field
  • 6+ years of industry experience
  • 2+ years of experience leading projects/teams
  • Strong software engineering, mathematical and analytical skills
  • Hands-on experience with large-scale online e-commerce systems is a plus
  • Background in computational advertising is preferred

Responsibilities

  • Define and drive the strategy and roadmap for our vertical ads products, shaping the future of ad experiences on Pinterest.
  • Lead the end-to-end development of production-grade machine learning models to enhance ad triggering, ranking, and selection, thereby optimizing the ads marketplace systems for bidding, budgeting, and ad placement.
  • Collaborate closely with product managers, data scientists, designers, and engineers across the company to ship impactful, user-facing ad products.
  • Serve as a technical mentor for other engineers, elevating the team's expertise in machine learning, system design, and best practices.

Other

  • Exceptional strategic thinking, communication, and collaboration skills.
  • This role will need to be in the office for in-person collaboration 1-2 times/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle
  • This position is not eligible for relocation assistance.