# Machine Learning Engineer: LLM Interpretability & Systems at CTGT

- Company: CTGT
- What the company does: Enterprise AI for where accuracy, speed, and compliance matter most. Backed by Y Combinator.
- Company website: https://www.ctgt.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $175K to $250K base salary per year (USD)
- Posted: 2026-03-27
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/ctgt/c6916802-4158-4f24-b4b1-ac978157b6d9
- Page: https://www.1752.vc/careers/jobs/ctgt-machine-learning-engineer-llm-interpretability-and-systems/

## 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

Tags: Engineering