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Director, Machine Learning Engineering, Programmatic Ads
Director, Machine Learning Engineering, Programmatic AdsPinterest • San Francisco, California, United States
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Director, Machine Learning Engineering, Programmatic Ads

Director, Machine Learning Engineering, Programmatic Ads

Pinterest • San Francisco, California, United States
14 days ago
Job type
  • Full-time
Job description

Director, Machine Learning Engineering, Programmatic Ads

Join to apply for the

Director, Machine Learning Engineering, Programmatic Ads

role at

Pinterest .

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

What You’ll Do

Manage and grow the engineering team, providing technical vision and 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 actively guide team execution. Collaborate across Product, Engineering, Marketing and Sales— translating business goals into ML requirements and ensuring solutions meet cross‑functional needs.

Product strategy and advocacy : define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g., privacy‑first personalization, new DSP features).

What We’re Looking For

M.S. / Ph.D. degree in Computer Science, Statistics or related field.

10+ years of industry experience building production machine learning systems at scale, 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 at 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 Statement

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in‑person collaboration 1‑2 times per month and therefore needs to be in a commutable distance from one of the following offices : San Francisco, Palo Alto, Seattle, Los Angeles.

In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

US based applicants only

$294,000—$514,500 USD

Our Commitment To Inclusion

Pinterest is an equal‑opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion, sexual orientation, gender identity, age, marital status, or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Technology, Information and Internet, Software Development, and IT Services and IT Consulting

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Director Machine Learning • San Francisco, California, United States

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