Senior Causal ML Engineer — A/B Testing & Uplift

Snap Inc. is seeking a Machine Learning Engineer to design and productionize causal ML models that quantify impact and guide product decisions. You will work on uplift modeling, heterogeneous treatment effects, and A/B testing, integrating experimental data with production systems.

The role requires strong Python proficiency, experience with causal inference libraries, and the ability to collaborate across cross-functional teams while delivering scalable infrastructure.