This role pays more than
83%
of similar roles. Most pay
$189,194–$254,750
— the shaded band above.
At the midpoint, this role pays about
$261k
versus about
$222k
for comparable roles.
Based on 240 similar postings.
Employer
About Snap Inc.
Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.
Snap Inc. currently has
58 open roles
on FindRole.
Listed pay typically runs
$209,000–$313,000
across 44 roles with salary data.
As a Level 5 Machine Learning Engineer specializing in causal inference at Snap Inc., you will join a dynamic team focused on leveraging advanced analytics to drive strategic decisions. Your primary responsibilities include designing and implementing models that quantify causal impact, optimize decision-making processes, and enhance user experiences. You will develop and deploy causal machine learning solutions such as uplift modeling and heterogeneous treatment effect estimation using both observational and experimental data. Additionally, you will collaborate with product and engineering teams to design A/B tests and quasi-experiments, ensuring methodological rigor while maintaining high engineering standards. Proficiency in Python along with libraries like pandas, NumPy, scikit-learn, and CausalML is essential, as is a strong understanding of causal inference techniques and the ability to balance model complexity with interpretability. This role requires experience in deploying models in production settings and working within complex experimentation infrastructures, particularly in domains such as personalization and ad dynamics.