Machine Learning Engineer: Llm Interpretability & Systems
CTGT- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to CTGT. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Senior Machine Learning Engineer at CTGT focused on LLM interpretability and systems. This role involves working deep within model architectures, weights, and activations to build systems that ensure deterministic AI governance. The engineer will probe model cognition to improve fundamentals for specific purposes and operationalize these improvements within the platform.
Skills and focus areas
- llm interpretability
- ai governance
- model architecture
- model weights
- model activations
- deterministic systems
- policy enforcement
- model drift prevention
- auditable decisions
- real-time control
- generative ai
- machine learning
Summary written by Ramai from the original posting. Full details and requirements are on CTGT’s careers page.
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