Staff Software Engineer, Backend - Ads Infrastructure

Pinterest is one of the fastest growing online advertising platforms and our continued success depends on rapidly scaling our core revenuegenerating 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 nextgen version of key infra components in our monetization ecosystem such as modernizing an endtoend 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 crossfunctional partners.

• Here are the available teams we are hiring for:
• Ads ML Training Infra: Lead and drive efforts of building nextgen ML data and training systems that directly powers up to 100 production models to uplevel Pinterest monetization business. Optimize the ads ML training performance efficiency and scalability by 10x from infra and model perspectives.
• Ads API Infra: Responsible for defining technical vision for Pinterest Ads API systems which enables advertiser onboarding and value understanding by advertisers across the globe of their 100M campaigns in Pinterest Ads systems.

What youll do:

• Rearchitect 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 outofdate ML models with a unified modern and privacyfirst ML stack with Pytorch Spark Iceberg and GPU based serving.
• Collaborate with crossfunctional teams to define problems and drive solutions.
• Work with a strong team of engineers and provide technical guidance and mentorship.

What were looking for:

• Bachelors degree in a relevant field such as Computer Science or equivalent experience.
• 6 years of relevant industry experience with distributed systems transactional datastores and systems programming.
• Experience in building and owning large scale high performance infrastructure powering ads recommendation search or other consumer facing applications.
• Experience solving enduser problems and envisioning solutions to improve their productivity.
• Proficiency in Java C or Python.

InOffice Requirement:

We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for inperson collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices SF Palo Alto SEA

Relocation:

This position is noteligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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Required Experience:

Staff IC