Causal ML Engineer — Product Impact and Experiments

Socket.dev; Santa Monica (CA); On-site; USD 209,000 - 313,000; Full time

Job summary

Snap Inc. is seeking a Machine Learning Engineer in Santa Monica to design and productionize causal ML solutions, including uplift modeling and heterogeneous treatment effect estimation, using observational and experimental data.

You will design A/B tests, collaborate with product and engineering, evaluate model tradeoffs, and help build scalable infrastructure while upholding privacy and rigorous methodology.

Qualifications

• Bachelor’s degree or equivalent in a technical field; 5+ years ML with causal inference.
• Translation missing

Responsibilities

• Design and build causal models to quantify impact for users and business.
• Productionize causal ML solutions and maintain scalable infrastructure.
• Collaborate with product and eng teams to shape experimentation.
• Review code and ensure rigorous methodology.

Skills

Causal inference

A/B testing & experimentation

Python data science

Communication & mentorship

Independent & collaborative

Education

Bachelor’s degree in CS/Statistics/Economics

Master’s degree/ PhD considered

Tools

CausalML

EconML

DoWhy

Job description

Snap Inc. is seeking a Machine Learning Engineer in Santa Monica to design and productionize causal ML solutions, including uplift modeling and heterogeneous treatment effect estimation, using observational and experimental data.

You will design A/B tests, collaborate with product and engineering, evaluate model tradeoffs, and help build scalable infrastructure while upholding privacy and rigorous methodology.