Research Engineer - Causal AI

Develop and implement advanced causal inference algorithms for marketing measurement.

• •We're looking for an Applied Scientist who solves hard mathematical problems in marketing attribution through both algorithmic innovation and production-quality implementation.
• •Key Responsibilities Design and implement novel approaches to marketing measurement problems, shipping working code Build production systems for causal inference that maintain statistical rigor at enterprise scale Develop algorithms that are both mathematically sound and computationally efficient Collaborate with customers to understand their measurement challenges and develop technical solutions Create tools and libraries that enable both internal teams and customers to leverage advanced analytics Requirements 5+ years developing and shipping research code in production environments Strong mathematical background
• •statistics, probability, optimization, causal inference Proficient Python developer
• •can write production-quality code, not just notebooks Causal inference expertise
• •practical experience applying causal methods to real problems Data-intensive systems
• •experience processing and analyzing large datasets