Pinterest
Sr. Engineering Manager, Ads ML Infrastructure
Pinterest, San Francisco, California, United States, 94199
About Pinterest :Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.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.Pinterest is one of the fastest growing online advertising platforms. Continued success depends on building scalable, efficient and user-friendly machine learning training and data systems, generating billions-parameter models from petabytes of data every hour, to identify the most relevant ads. You'll join and lead a talented team with high impact, which designs high-performance and efficient ML training, data and feature engineering infrastructure, in order to power the most critical and revenue-generating ad delivery models at Pinterest.What you'll do:Collaborate with stakeholders and partner teams across the organization to architect ads ML feature infrastructure solutions to unlock Pinterest ads models innovations.Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture.Lead the team to build the next-generation Pinterest Ads ML training and data foundation infrastructure. Opportunities to follow scaling laws to use cutting edge ML technologies including GPU, Feature Store and LLMs to 100x bigger models.Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability.What we're looking for:5+ years of management experience managing a team beyond 15 people.10+ years of relevant industry experience in leading the design of large scale & production ML infra systems. Such as feature store, model serving or training framework.Deep knowledge with building distributed systems or recommendation infrastructure.Strong cross-functional collaborator and communicator.Strong people development skills. You have helped people grow in their careers and team to demonstrate bigger impact.
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PinFlex
landing page to learn more.Pinterest is one of the fastest growing online advertising platforms. Continued success depends on building scalable, efficient and user-friendly machine learning training and data systems, generating billions-parameter models from petabytes of data every hour, to identify the most relevant ads. You'll join and lead a talented team with high impact, which designs high-performance and efficient ML training, data and feature engineering infrastructure, in order to power the most critical and revenue-generating ad delivery models at Pinterest.What you'll do:Collaborate with stakeholders and partner teams across the organization to architect ads ML feature infrastructure solutions to unlock Pinterest ads models innovations.Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture.Lead the team to build the next-generation Pinterest Ads ML training and data foundation infrastructure. Opportunities to follow scaling laws to use cutting edge ML technologies including GPU, Feature Store and LLMs to 100x bigger models.Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability.What we're looking for:5+ years of management experience managing a team beyond 15 people.10+ years of relevant industry experience in leading the design of large scale & production ML infra systems. Such as feature store, model serving or training framework.Deep knowledge with building distributed systems or recommendation infrastructure.Strong cross-functional collaborator and communicator.Strong people development skills. You have helped people grow in their careers and team to demonstrate bigger impact.
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