Pinterest
Sr. Staff Machine Learning Engineer, Closeup Relevance
Pinterest, Port Orchard, Washington, United States, 98366
About 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.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
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.
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.
What you will do:
You will be working in a cross-team environment, with a lot of talented ML engineers. You will work with state-of-the-art recommendation tech stack and have the opportunity to lead innovation and/or redesign of the full recommendation funnel.
You will be a leader in ML innovations whose impact is felt across the organization
Work closely with other engineering teams in Pinterest to bring superior Closeup experience to our users, such as ATG, ML Platform, Closeup Product, Content Quality and Core Infrastructure
Develop an inspiring technical vision, and ambitious but grounded strategy for the team. Deliver outstanding results
Provide visibility for senior leadership into the team’s global impact.
Partner with stakeholders to expand impact across the company, including product management and data scientists.
Mentor and grow senior engineers on the team
Build a culture of innovations and excellence
What we are looking for:
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, in an end-to-end fashion.
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.
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 or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.
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