Causal AI Research Engineer - Production-Ready

Alembic Technologies; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity opportunities

Technical autonomy

Cutting-edge technology

Job summary

Alembic Technologies is hiring an Applied Scientist in San Francisco to tackle complex marketing attribution challenges through algorithmic innovation and production quality implementation. You will design novel methods, ensure rigor, and deliver impactful solutions for Fortune 100 companies.

The role requires a strong mathematical background and proficiency in Python, aiming to bridge research and real-world applications in marketing analytics. Compensation ranges from $200K to $250K.

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.

Responsibilities

• Design and implement novel approaches to marketing measurement problems.
• Build production systems for causal inference that maintain statistical rigor at enterprise scale.
• Collaborate with customers to understand their measurement challenges and develop technical solutions.

Skills

Software Engineering

Causal Inference

Statistical Analysis

Python Development

Data Processing

Education

MS or PhD in a relevant field

Tools

Machine Learning

Job description

Alembic Technologies is hiring an Applied Scientist in San Francisco to tackle complex marketing attribution challenges through algorithmic innovation and production quality implementation. You will design novel methods, ensure rigor, and deliver impactful solutions for Fortune 100 companies.

The role requires a strong mathematical background and proficiency in Python, aiming to bridge research and real-world applications in marketing analytics. Compensation ranges from $200K to $250K.