Research Engineer - Causal AI

The role

An Applied Scientist will design and implement novel approaches to marketing measurement problems. You will build production systems for causal inference and work with customers to develop technical solutions.

What you will do

• 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
• Document research and implementation decisions for reproducibility and knowledge transfer

Required qualifications

• 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
• Research to production - track record of turning research ideas into shipping features
• Communication skills - can explain complex technical concepts to varied audiences
• MS or PhD with significant applied research experience
• Background in econometrics, statistics, or computational social science
• Experience in marketing analytics, A/B testing, or measurement domains
• Understanding of ML engineering and MLOps practices
• Ability to work directly with customers on technical problems

Nice to have

• Published applied research or technical writing
• Experience in consulting or customer-facing technical roles
• Background in operations research or decision sciences
• Familiarity with GPU computing and performance optimization
• Understanding of privacy-preserving analytics and differential privacy

Benefits

• Early-stage equity opportunity

About the company

Alembic is an applied science company where engineers solve marketing problems by building trusted systems for Fortune 100 companies. The company is backed by tech luminaries including WndrCo, Jensen Huang, and Joe Montana.