Ctgt
Machine Learning Engineer: LLM Interpretability & Systems
San Francisco · Senior
Sponsorship not specifiedDetected 117 days ago
TypeScriptPythonRustReactNode.jsPostgreSQLMachine LearningLLMs
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?"
Responsibilities
- Build the evaluation and deployment loops needed to ship changes reliably into enterprise environments.
- Design and optimize the feature-level intervention systems that enable deterministic policy enforcement at inference time.
- Can read a paper, decide what matters, and implement it.
- determine how a model can be improved for a specific purpose and build the systems that operationalize that within our platform.
- Real Impact: You will work directly on the core systems that determine how models perform in the wild.
Requirements
- We operate with a high degree of trust.
- You are expected to form strong technical opinions and execute on them.
- Autonomy & Trust: We operate with a high degree of trust.
Skills
- Postgresql, vector, and graph databases
- ML: Self hosted models on multiple GPU providers and frontier APIs
Compensation
- Competitive base compensation, plus significant equity in a venture-backed company with institutional investors including Google's Gradient Ventures, General Catalyst, and Y Combinator.
- We want people who think and act like owners.
Benefits
- Compensation & Equity: Competitive base compensation, plus significant equity in a venture-backed company with institutional investors including Google's Gradient Ventures, General Catalyst, and Y Combinator.
- Strong understanding of Transformer architectures, PyTorch internals, and the mathematical foundations of deep learning.
This listing is sourced directly from Ctgt's careers page and normalized into a canonical job model.