Pinterest is seeking a Staff Software Engineer to join their Ads Infrastructure team, focusing on scaling their core revenue-generating systems. This role offers an opportunity to work on modernizing Pinterest's ML platform that serves hundreds of use cases and makes billions of predictions per second. The position involves redesigning catalog ingestion and ads delivery systems to enhance Pinterest's position as a leading advertising platform. You'll be working with technologies like MySQL, TiDB, Flink, HNSW, Pytorch, Spark, and Iceberg to build next-generation ML data and training systems. The role requires collaboration with experienced engineers and cross-functional partners to achieve 10X scale improvements in campaign management, ad delivery, and machine learning platforms. As a staff engineer, you'll lead initiatives in either Ads ML Training Infrastructure or Ads API Infrastructure teams, working on systems that directly impact Pinterest's monetization business. This hybrid position offers the flexibility of remote work while requiring in-person collaboration once per week at either the San Francisco, Palo Alto, or Seattle offices. Pinterest provides a competitive compensation package including a base salary range of $200,436-$313,182 USD plus equity, reflecting their commitment to attracting top talent in the advertising technology space.