Causal ML Engineer: Uplift & A/B Testing, Equity

Snap is seeking a Machine Learning Engineer to design and build models that optimize decision-making and drive value for users and advertisers. This role involves developing causal machine learning solutions and interpreting A/B tests while collaborating with cross-functional teams. The ideal candidate has extensive experience in machine learning, strong Python skills, and a background in causal inference or experimentation. Snap offers a competitive salary range based on location, skills, and qualifications.