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CTGT is a product-focused interpretability lab that addresses the challenge of controlling AI behavior. Unlike approaches relying on retraining or prompting, CTGT's research allows for direct, surgical intervention within neural networks to modify specific features governing behavior. By integrating traditional statistical methods with machine learning, the company offers unprecedented insights into deep neural network operations, even for closed-weight models. This enables high-trust organizations to rely on AI for accuracy and truth, not just probability. CTGT's platform is designed to govern AI output against defined policies in real-time, offering mathematically verifiable guarantees and full auditability for deployments in regulated environments.
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You will work as a Machine Learning Engineer focused on LLM interpretability and systems. CTGT, Inc., a Stanford-born startup backed by Gradient Ventures and Y Combinator, is building a deterministic governance layer for enterprise AI in San Francisco. This role bridges frontier AI research with production systems to tackle non-deterministic risk for Fortune 500 deployments.
Senior Software Engineer in San Francisco, CA, at CTGT, Inc., leading architectural work on a deterministic governance layer for enterprise AI. Backed by Google's Gradient Ventures, General Catalyst, and Y Combinator, CTGT is building the control plane that makes frontier models reliable for Fortune 500 institutions. The role offers total architectural ownership of a high-performance system and.
