Sr. Machine Learning Engineer, Closeup

Key Skills

Data Mining, Effective communication skills, Imagery data types, Machine learning techniques, Project management, Video processing/compression

Job Description

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

About Closeup Relevance Team

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.

Closeup is the biggest impression surface among all discovery surfaces on Pinterest. It is critical for engagement and revenue and also uniquely important for pinners’ inspiration-to-realization journey. Being able to serve quality, relevant and user-and-context-aware recommendations is critical to the team’s success. Closeup recommendations has significant room for growth. Our current recommendation doesn’t take into consideration user session as a whole and downstream engagement impact. We would like to leverage cutting edge machine learning technologies to improve the entire pinner’s journey.

What you’ll do:

• Work on virtually all parts of Closeup recommendations.
• Apply and develop new machine learning techniques to improve ranking for Closeup recommendations.
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval.
• Improve the inspiration-to-realization funnel for Closeup, to drive better realization outcomes including shopping.
• Partner closely with other product teams to holistically improve our platform.
• Work in a high-impact environment with quick experimentation and product launches.

What we’re looking for:

• Ph.D. with 3+ years or Masters with 5+ years of industry experience building production machine learning systems at scale, including recommendation, search and/or ads systems.
• Experience in working with user-facing products.
• Experience in working in cross team collaborations, good communication skills.
• Experience working with rich data, e.g. image, video an added bonus.

This position is not eligible for relocation assistance.

US based applicants only

$114,750—$236,000 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.