Research Engineer - Causal AI

About this role

Alembic seeks a Research Engineer to develop causal inference systems that solve marketing attribution challenges for Fortune 100 companies. You'll design novel algorithms, implement production-quality code, and work directly with customers to ensure statistical rigor at enterprise scale.

What you'll do

• Design and implement novel causal inference approaches for marketing measurement problems
• Build and maintain production systems that handle statistical rigor at enterprise scale
• Develop mathematically sound and computationally efficient algorithms
• Collaborate with customers to understand measurement challenges and deliver solutions
• Create analytics tools and libraries for internal and customer use
• Document research and implementation decisions for reproducibility

What they're looking for

• Python production engineering and research code development
• Causal inference and statistical methods (Bayesian and frequentist)
• Marketing analytics, A/B testing, and measurement domains
• Data-intensive systems and large-scale data processing
• ML engineering and MLOps practices
• Technical communication and customer collaboration
• Optimization and probability theory
• GPU computing and performance optimization (nice to have)

Benefits

• Tackle high-impact problems influencing multimillion-dollar decisions
• Technical autonomy and ownership over complex problem-solving
• Access to cutting-edge technology including private NVIDIA DGX clusters
• Work with elite engineering team focused on challenging problems
• Early-stage startup equity with proven product-market fit
• San Francisco HQ location