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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 to achieve 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 a Principal Software Engineer to initiate, design, and build the next-gen version of the key infrastructure components in our monetization ecosystem. This includes modernizing our end-to-end machine learning platform, which serves over hundreds of use cases and makes billions of predictions per second, as well as redesigning our catalog ingestion and ads delivery systems to become one of the leading advertising platforms in the world. This role is exciting because you will be able to leverage your deep infrastructure knowledge to redesign systems at a very large scale. You will also have the opportunity to work with experienced engineers and cross-functional partners to solve problems that impact both the topline and bottomline of our business. In this position, you will re-architect core catalog, ads indexing, and serving infrastructure to achieve greater scalability, freshness, performance, and reliability, utilizing data storage, streaming processing, and information retrieval technologies such as MySQL, TiDB, Flink, and HNSW. Additionally, you will modernize the machine learning ecosystem for the entire Pinterest Ads product, replacing an outdated ML stack with a unified, modern, and privacy-first ML stack using Pytorch, Spark, Iceberg, and GPU-based serving. Collaboration with cross-functional teams to define problems and drive solutions will be a key part of your responsibilities, as well as providing technical guidance and mentorship to a strong team of engineers.
