Sr Staff Machine Learning Engineer, Closeup Relevance

Pinterest • Palo Alto, CA

96d • $176,924 - $364,254

About The Position

Pinterest helps more than half a billion users discover new ideas to help design their lives. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build. The Closeup Relevance team owns Closeup recommendations (a.k.a. related pins), which help pinners explore topics they are interested in and get continuous inspirations. This is the largest recommendation surface on Pinterest and we work with some of the largest datasets in the world, creating unique experiences for hundreds of millions of pinners. Our system serves billions of daily impressions and is critical for company business. We are looking for a highly motivated Staff ML engineer to work as a cross-team technical leader.

Requirements

• 7+ years of professional experience in Machine Learning.
• 5+ years of proposing and delivering innovations from original research or adopting cutting edge ML research.
• 3+ years of experience in leading large-scale and mature ML recommendation systems teams.
• Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience.
• Thrives in ambiguity, skilled in defining and exploring open ended problems.
• Experience in setting and delivering technical directions at both team and organizational level.
• Expertise in machine learning modeling and infrastructure.
• Adept in statistics, backend, batch and realtime processing systems.
• Ability to drive the team roadmap end to end.
• A knack for product and impact on users of a consumer product.

Responsibilities

• Work in a cross-team environment with talented ML engineers.
• Lead innovation and/or redesign of the full recommendation funnel.
• Be a leader in ML innovations whose impact is felt across the organization.
• Work closely with other engineering teams to enhance the Closeup experience.
• Develop a technical vision and strategy for the team.
• Provide visibility for senior leadership into the team’s global impact.
• Partner with stakeholders to expand impact across the company.
• Mentor and grow senior engineers on the team.
• Build a culture of innovations and excellence.

Benefits

• Equity eligibility.
• Flexible working model with in-person collaboration 1-2 times/quarter.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees