Causal ML Engineer: Uplift Modeling & Experiments
Snap Inc.
Snap Inc. is seeking a Machine Learning Engineer to design and productionize causal ML solutions that quantify impact and drive value for users and advertisers. You will work on uplift modeling, heterogeneous treatment effect estimation, and design experiments with product and engineering partners, balancing model performance with scalability and interpretability. Strong scripting in Python and collaboration across cross-functional teams are essential as you contribute to rapid iteration while #J-18808-Ljbffr Snap Inc.
Vacancy posted 2 days ago
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