Machine Learning Engineering Manager - II, Closeup Ranking & Blending

Key Skills

Effective communication skills, Large data sets, Machine learning techniques, Product Management, Teamwork

Job Description

Closeup recommendations at Pinterest help users explore the topics they are interested in and get continuous inspirations. This is usually done by recommending content related to an initial pin and the user context, often letting pinners discover the content they love but can’t quite describe in words. This is one of the largest impression surfaces on Pinterest and we work with some of the largest datasets in the world, creating unique experiences for hundreds of millions of users. Our content ranges across all categories as well as a variety of formats, from images to videos and to our new native content format - idea pins. Our system serves billions of impressions on a daily basis, for users all over the world. You'll have the opportunity to work on the entire tech stack of a modern recommendation system and use machine learning and data driven methods to advance the baselines at scale.

What you’ll do:

• Manage the Closeup Ranking & Blending engineering team. The team is an advanced ML engineering team. This team’s work is directly impactful to Closeup recommendations (including related pins and other recommendations,) which contributes to a huge part of Pinterest impressions.
• Lead a group of ML experts to apply cutting edge ML techniques to Closeup ranking and blending tech stack.
• Lead the team to continue to innovate and improve Closeup ranking and blending for business goals.
• Partner with engineering teams on shopping, inclusiveness and content to advance the company OKRs.
• Work with cross-functional partners to plan and execute team strategies.

What we’re looking for:

• Ph.D. with 5+ years or Masters with 6+ years of industry experience working on production machine learning systems at scale, including recommendation, search and/or ads systems.
• 1+ years experience on managing ML engineering teams with 5+ engineers.
• Experience in working with user-facing products.
• Experience in working in cross team collaborations, good communication skills.

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. 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.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$174,175—$304,496 USD

Our Commitment to Diversity:

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, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.