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S
Machine Learning Engineer, Causal Inference, Level 5
SNAP/SNAPMachine Learning Engineer at Snap Inc. designing models that quantify causal impact and optimize decision-making for users and advertisers.
Posted 7/1/2026full-timeLos Angeles • California, New York • 🇺🇸 United StatesMid-LevelSenior💰 $209,000 - $313,000 per yearWebsite
Core Competencies
Role fitCore Competencies
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Expertise in designing and building causal machine learning models to optimize decision-making and evaluate product strategies, with a strong focus on A/B testing and experimental design. Proven ability to collaborate with cross-functional teams while maintaining high engineering standards and methodological rigor.
Highest-signal resume keywords
Causal Machine LearningA/B TestingModel BuildingStatistical AnalysisCollaboration with Product and Engineering
ATS Keywords
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Hard Skills
Causal InferenceUplift ModelingHeterogeneous Treatment Effect EstimationExperimental Data AnalysisModel Complexity EvaluationBias/Variance TradeoffScalability AssessmentInfrastructure DevelopmentMethodological RigorProductionizing Machine Learning Solutions
Soft Skills
CollaborationCommunicationProblem-Solving
Industry Keywords
Computer ScienceStatisticsEconomicsTechnical FieldOnline ExperimentsProduct Decision-MakingPolicy Evaluation
About the role
Key responsibilities & impact- Design and build models that quantify causal impact, optimize decision-making, and drive value for users, advertisers, and the business
- Develop and productionize causal machine learning solutions (e.g., uplift modeling, heterogeneous treatment effect estimation) using observational and experimental data
- Design, analyze, and interpret A/B tests and quasi-experiments; collaborate closely with product and engineering partners to shape experimentation strategies
- Evaluate technical tradeoffs between model complexity, bias/variance, scalability, and interpretability
- Conduct code reviews, maintain high engineering standards, and build scalable, maintainable infrastructure
- Contribute to rapid iteration cycles while ensuring methodological rigor
Requirements
What you’ll need- Bachelor’s degree in computer science, statistics, economics, or a related technical field, or equivalent practical experience
- 5+ years of post-Bachelor’s experience in machine learning, with hands-on experience in causal inference or experimentation; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experience
- Demonstrated experience building models to support product decision-making and policy evaluation through causal techniques
- Experience designing and analyzing online experiments (A/B tests) and leveraging causal ML in production systems
Benefits
Comp & perks- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success