Machine Learning Engineer
Core
Building deterministic AI governance systems that enforce policy and prevent drift in large language models for Fortune 500 clients.
Role type
Senior Machine Learning Engineer (Model Internals & Governance)
Builds
The Policy Engine, a control plane for real-time, auditable model behavior in production.
Domain
AI Safety, LLM Reliability, Enterprise AI Infrastructure
Deliverable
production ML models
Required skills
Transformer architecture internals, PyTorch, deep learning mathematics, mechanistic interpretability, activation patching, control vectors, feature extraction, model fine-tuning and optimization, research-to-production implementation
Preferred skills
Experience with commercial and open-source LLMs, building evaluation and deployment loops, designing feature-level intervention systems
Technologies
PyTorch, Transformer architectures
Responsibilities
Implement mechanistic interpretability research into production code, work directly with model weights and activations to improve behavior, build evaluation and deployment loops for enterprise environments, design feature-level intervention systems for deterministic policy enforcement
Seniority
Senior, hands-on IC
