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Pinterest Engineering · 2 months ago

Director, Machine Learning Engineering, Programmatic Ads

San Francisco, CA, US

Full-time

Onsite

Director/Executive

$294K/yr - $514K/yr

10+ years exp

Pinterest is a fast-growing online ad platform on a mission to inspire creativity and innovation. They are seeking a Director of Machine Learning Engineering to lead a team in developing data-driven techniques for programmatic ads, focusing on real-time bidding and ad optimization.

Computer Software

No H1B

Responsibilities

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)

Qualification

Machine LearningData MiningInformation RetrievalProgrammatic AdvertisingCross-functional CollaborationStakeholder CommunicationTechnical VisionTeam Management

Required

M.S/ PhD 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