Machine Learning Engineer, Causal Inference, Level 5

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly\-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well\-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. We’re looking for a Machine Learning Engineer to join Snap Inc! What you’ll do: * Design and build models that quantify causal impact, optimize decision\-making, and drive value for users, advertisers, and the business * Develop and productionize causal machine learning solutions (e.g., uplift modeling, heterogeneous treatment effect estimation) using observational and experimental data * Design, analyze, and interpret A/B tests and quasi\-experiments; collaborate closely with product and engineering partners to shape experimentation strategies * Evaluate technical tradeoffs between model complexity, bias/variance, scalability, and interpretability * Conduct code reviews, maintain high engineering standards, and build scalable, maintainable infrastructure * Contribute to rapid iteration cycles while ensuring methodological rigor Knowledge, Skills \& Abilities: * Strong understanding of causal inference and modern approaches to estimating treatment effects (e.g., meta learners, propensity score matching, instrumental variables) * Experience with