Machine Learning Engineer, Causal Inference, Level 5 at Snapchat

Snap Inc. is hiring a Machine Learning Engineer to design and productionize causal machine learning solutions, including uplift modeling, heterogeneous treatment effect estimation, A/B tests, and quasi-experiments. The role involves evaluating model tradeoffs, maintaining engineering standards, conducting code reviews, and collaborating with product and engineering teams. Candidates need a relevant bachelor’s degree or equivalent practical experience, at least five years of post-bachelor’s machine learning experience, and demonstrated experience with causal techniques and production experimentation. The position follows a default-together policy requiring office attendance four or more days per week and offers base salaries of $178,000–$313,000 annually depending on the work location, plus equity.