|
Staff Software Engineer, Ads Serving Platform - San Francisco California
Company: Pinterest Location: San Francisco, California
Posted On: 04/19/2024
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 helpingPinnersmake 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 landing page to learn more.Pinterest is one of the fastest growing online advertising platforms and our continued success depends on rapidly scaling our core revenue-generating systems. Specifically, we need 10X the scale of our campaign management, ad delivery, and machine learning platforms, while enabling developers inside Pinterest and external advertisers to build and iterate rapidly on new features. We are looking for multiple staff engineers to initiate, design, and build the next-gen version of key infra components in our monetization ecosystem, such as modernizing an end-to-end ML platform serving over hundreds of use cases making billions of predictions per second, and redesigning our catalog ingestion and ads delivery systems to become one of the leading advertising platforms in the world. These roles are exciting, because you will be able to lean on your deep infra knowledge to redesign systems to handle a much bigger scale, while also having the chance to work with very experienced engineers and cross-functional partners. What you'll do: - Re-architect core catalog, ads indexing and serving infrastructure to achieve greater scalability, freshness, performance, and reliability, using data storage, streaming processing, and information retrieval technologies such as MySQL, TiDB, Flink, and HNSW.
- Modernize the ML ecosystem for the entire Pinterest Ads product, replacing a hodgepodge of out-of-date ML models with a unified, modern, and privacy-first ML stack with Pytorch, Spark, Iceberg, and GPU based serving.
- Collaborate with cross-functional teams to define problems and drive solutions.
- Work with a strong team of engineers and provide technical guidance and mentorship.
What we're looking for: |
|