Senior LLM Interpretability Engineer — Production Systems

Integra Tech Advisors; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Integra Tech Advisors seeks a Senior Machine Learning Engineer to work on LLM interpretability and systems. You will operate inside the model stack, handling weights, activations, and architectures to power a deterministic policy engine for enterprise use.

This hands-on role requires deep knowledge of Transformer models, PyTorch, and the math of deep learning, with a focus on production-grade improvements and scalable deployment across clouds.

Qualifications

• Experience with Transformer architectures, PyTorch internals and the math underpinning deep learning.
• Ability to train, fine-tune or optimize models beyond superficial augmentation.
• Ability to read papers, extract actionable ideas and implement them.

Responsibilities

• Turn mechanistic interpretability research into production code.
• Work with model internals to improve behavior and performance across models.
• Apply techniques like activation patching and control vectors for deterministic outputs.
• Build evaluation and deployment loops to ship changes into enterprise environments.
• Design and optimize feature-level intervention systems for real-time policy enforcement.

Skills

Transformer architectures

PyTorch internals

Deep learning math

Tools

Python

Rust

Node/TypeScript

React

Postgres

Vector databases

Graph databases

Docker

Kubernetes

Terraform

Job description

Integra Tech Advisors seeks a Senior Machine Learning Engineer to work on LLM interpretability and systems. You will operate inside the model stack, handling weights, activations, and architectures to power a deterministic policy engine for enterprise use.

This hands-on role requires deep knowledge of Transformer models, PyTorch, and the math of deep learning, with a focus on production-grade improvements and scalable deployment across clouds.