Pinterest
Director, Machine Learning Engineering, Programmatic Ads
Pinterest, Los Angeles, California, United States, 90079
Director, Machine Learning Engineering, Programmatic Ads
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Director, Machine Learning Engineering, Programmatic Ads
role at
Pinterest .
About Pinterest: Millions of people use our platform to find creative ideas, dream about possibilities, and plan memories. We are on a mission to bring everyone the inspiration to create a life they love, starting with the people behind the product.
What You’ll Do
Manage and grow the engineering team, providing technical vision and a long-term roadmap.
Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection, and yield optimization on the DSP.
Hire, mentor, and grow a team of engineers. Set technical direction, manage project roadmaps, and guide team execution. Collaborate across Product, Engineering, Marketing, and Sales – translating business goals into ML requirements and ensuring cross-functional alignment.
Product strategy and advocacy. Define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership and align analytics projects with company goals (e.g., privacy-first personalization, new DSP features).
What We’re Looking For
M.S./ PhD in Computer Science, Statistics, or a related field.
10+ years of industry experience building production machine learning systems at scale, including data mining, search, recommendations, and/or natural language processing.
Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search). Familiarity with ad campaign metrics, auction mechanics, and yield optimization.
Excellent cross-functional collaboration and stakeholder communication.
Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement: We value collaboration in person for key moments. This role requires in-person collaboration 1–2 times per month and must be within a commutable distance of one of the following offices: San Francisco, Palo Alto, Seattle, Los Angeles.
Salary and Benefits: This position is based in the US with a base salary range of
$294,000—$514,500 USD . The position is eligible for equity. Final salary is based on location, travel, prior experience, and skillset. Information regarding culture and benefits is available during the application process.
Our Commitment To Inclusion: Pinterest is an equal opportunity employer. We make employment decisions on the basis of merit and do not discriminate based on race, color, ancestry, national origin, religion or creed, sex, sexual orientation, gender, gender identity or expression, age, marital status, veteran status, disability, medical condition, or genetic information. Qualified applicants will be considered without regard to criminal histories in line with legal requirements. If you require a medical or religious accommodation during the job application process, please let us know.
US-based applicants only.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet, Software Development, IT Services and IT Consulting
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Director, Machine Learning Engineering, Programmatic Ads
role at
Pinterest .
About Pinterest: Millions of people use our platform to find creative ideas, dream about possibilities, and plan memories. We are on a mission to bring everyone the inspiration to create a life they love, starting with the people behind the product.
What You’ll Do
Manage and grow the engineering team, providing technical vision and a long-term roadmap.
Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection, and yield optimization on the DSP.
Hire, mentor, and grow a team of engineers. Set technical direction, manage project roadmaps, and guide team execution. Collaborate across Product, Engineering, Marketing, and Sales – translating business goals into ML requirements and ensuring cross-functional alignment.
Product strategy and advocacy. Define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership and align analytics projects with company goals (e.g., privacy-first personalization, new DSP features).
What We’re Looking For
M.S./ PhD in Computer Science, Statistics, or a related field.
10+ years of industry experience building production machine learning systems at scale, including data mining, search, recommendations, and/or natural language processing.
Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search). Familiarity with ad campaign metrics, auction mechanics, and yield optimization.
Excellent cross-functional collaboration and stakeholder communication.
Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement: We value collaboration in person for key moments. This role requires in-person collaboration 1–2 times per month and must be within a commutable distance of one of the following offices: San Francisco, Palo Alto, Seattle, Los Angeles.
Salary and Benefits: This position is based in the US with a base salary range of
$294,000—$514,500 USD . The position is eligible for equity. Final salary is based on location, travel, prior experience, and skillset. Information regarding culture and benefits is available during the application process.
Our Commitment To Inclusion: Pinterest is an equal opportunity employer. We make employment decisions on the basis of merit and do not discriminate based on race, color, ancestry, national origin, religion or creed, sex, sexual orientation, gender, gender identity or expression, age, marital status, veteran status, disability, medical condition, or genetic information. Qualified applicants will be considered without regard to criminal histories in line with legal requirements. If you require a medical or religious accommodation during the job application process, please let us know.
US-based applicants only.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet, Software Development, IT Services and IT Consulting
#J-18808-Ljbffr