Sr. Staff Software Engineer, Ads ML Infra

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 helping Pinners make 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.Pinterest is one of the fastest growing online advertising platforms. Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to pinners. You’ll join a talented team with high impact, which designs high-performance and efficient ML training data and compute infrastructure, in order to power the most critical and revenue-generating models at Pinterest.What you’ll doLead the effort of building next-gen ML data and training systems that directly powers up to 100 production models to uplevel Pinterest’s monetization business.Optimize the ads ML training performance and efficiency by 10x from infra and model perspectives.Work with ML communities inside and outside the company to bring in new technologies to Pinterest to power new ML paradigms including generative AI and LLM.Partner with ML teams, to up-level the development framework and monitoring tools for production training and data quality stability.What we’re looking for:BS (or higher) degree in Computer Science, or a related field.10+ years of relevant industry experience in leading the design of large scale & production ML infra systems.Deep knowledge with at least one state-of-art programming language (Java, C++, Python).Deep knowledge with at least 1 big data framework (Spark, Ray, Kubernetes).Good knowledge and experience in building models and familiarity with Pytorch or Tensorflow.Strong communicator and collaborative team player.Relocation Statement:This position is not eligible for relocation assistance.In-Office Requirement Statement:This role will need to be in the office for in-person collaboration 1-2 times per week, and therefore needs to be in a commutable distance from one of the following offices: Palo Alto, CA; San Francisco, CA; Seattle, WA.Salary Information: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.US based applicants only$228,188—$398,983 USDOur 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, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete

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