Senior Software Engineering Manager

Here at Meta, our ML Infra plays a critical role in enabling the development and deployment of machine learning models that power various products and services across the company supporting the entire lifecycle of machine learning, from data preparation to model training, evaluation, and deployment. By providing a robust and scalable infrastructure, ML Infra enables Meta to innovate and stay ahead of the competition, ensuring that Meta can deliver accurate and efficient ad targeting, optimization, and measurement solutions to its advertisers. The Experimentation Platform team consists of Software Engineers, ML Engineers, Technical Program Managers, Data Scientists, Data Engineers and Core Applied Scientists. The team builds Experimentation Infrastructure that is crucial for driving innovation and ensuring that new features and optimizations deliver the intended results without unintended regressions. It allows teams to validate hypotheses, understand user behavior, and make data-driven decisions, ensuring that nothing ships without being tested through an experiment. Key use cases include testing new product features, optimizing ad performance, and improving user engagement across platforms like Facebook, Instagram, and WhatsApp. By running experiments, Meta can measure the impact of changes, catch unintended issues, and ensure that new developments align with user expectations and business goals. Experiments are also run that measure the incremental revenue of ranking model and product changes, with over 90% of Meta’s incremental revenue (>$15Bn) being measured through the experimentation platforms and reported to the Finance team. As a manager of managers in our team, you will provide the leadership direction and expertise necessary to identify innovative solutions for highly ambiguous Experimentation problems. You will help to develop and execute solutions and partner with organizations and technical leaders across the company.