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Machine Learning Engineer, Causal Inference, Level 5

Snap Inc.· Engineering
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Hybrid (Bellevue), Hybrid (Los Angeles), Hybrid (New York), Hybrid (Palo Alto), Hybrid (Seattle)$209k - $313k + equityFull timePosted 1mo ago

About the role

Machine Learning Engineer role focused on causal inference, uplift modeling, and experimentation to optimize decision-making and create value for users, advertisers, and the business.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:Causal inference techniques (meta-learners, propensity score methods, instrumental variables)A/B testing and experimentationPython and data science libraries (pandas, NumPy, scikit-learn, CausalML, EconML, DoWhy)Problem solving and statistical thinking with engineering pragmatismCommunication and mentorship

Benefits

  • paid parental leave
  • comprehensive medical coverage
  • emotional and mental health support programs
  • compensation packages that let you share in Snap’s long-term success
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Snap Inc.

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

We believe the camera presents the greatest opportunity to improve the way people live and communicate.

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