Staff Software Engineer, Ads ML Infrastructure

Key Skills

C++, GPUs, High performance computing- HPC, Infrastructure as code, Java Programming, Machine learning techniques, MySQL, Python Programming, PyTorch, SPARK Programming

Job Description

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 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 senior 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• Modernize the ML ecosystem for the entire Pinterest Ads product, replacing a hodgepodge of out-of-date ML models with a unified, modern, and privacy-first ML stack with Pytorch, Spark, Iceberg, and GPU based serving.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:

• 8+ 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 end-user problems and envisioning solutions to improve their productivity.
• Proficiency in Java, C++, or Python.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$135,150—$278,000 USD

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.