Enterprise AI for where accuracy, speed, and compliance matter most. Backed by Y Combinator.
About the role
A new open-source model is released and you are compelled to reach inside and understand how it actually works. You instinctively try to push it beyond what most people say is already impressive. You observe model behavior and don’t think, “What’s a better prompt?”, but “How do I improve its fundamentals?”
What they're looking for
- Strong understanding of Transformer architectures, PyTorch internals, and the mathematical foundations of deep learning
- Have trained, fine-tuned, or optimized models beyond superficial augmentation
- Can read a paper, decide what matters, and implement it
- Notice when something is not working and take ownership of fixing it
- Motivated by the challenge of making large language models reliable and controllable enough for the highest-stakes enterprise applications
More about this role
Despite massive investment in commercial AI, organizations often find that demonstrated value is elusive, primarily due to the non-deterministic risk inherent to generative models. CTGT is the deterministic governance layer that enables the most important global institutions to deploy AI workflows with confidence.
Born out of Stanford University research, we provide the control plane that makes it possible. A lightweight, model-agnostic system that enforces policy, prevents drift, and produces auditable decisions in real time.
While we sit on the edge of AI research, CTGT brings frontier intelligence into real-world environments. We apply cutting-edge theory directly in production to make large language models more reliable, controllable, and performant in practice.
Our mission is to bring models to the level of performance and accountability required by the Fortune 500. By bridging the gap between LLM capabilities and domain-specific requirements, we unlock the true potential of generative AI to solve the most pressing problems in our world today.
A new open-source model is released and you are compelled to reach inside and understand how it actually works. You instinctively try...
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