Code and Theory
This role is part of Code and Theory’s AI/ML engineering team focused on building evaluation infrastructure and quality standards for generative AI systems. The position centers on developing reproducible evaluation pipelines, benchmarking LLM outputs, and working closely with cross-functional teams to set release criteria. The team operates across a distributed global network and supports high-performance, secure, and accessible web experiences.
Headquarters
New York, New York, United States
Company Size
1001-5000 employees
Founded
2001
Code and Theory is a technology-first creative agency and part of the Stagwell Group that blends roughly 50% creativity with 50% engineering to build digital products and experiences at scale. They partner with businesses on digital transformation, web and product development, and strategy to address complex challenges in consumer behavior, emerging technologies, and AI. The networked group brings design, engineering, and data-driven approaches together to create user-centric digital experiences and enterprise solutions.
From ‘interactive’ to AI-first—how Code and Theory is transforming client experiences
3 days ago
Code and Theory Recognized by Ad Age A-List for Leading Transformation in the AI Era
3 days ago
Code and Theory Recognized by Ad Age A-List for Leading Transformation in the AI Era
3 days ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Code and Theory.
Code and Theory didn’t post a salary, so this is our estimate from similar listings.
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