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Jack & Jill
Machine Learning Engineer: LLM Interpretability & Systems ($175K – $250K + Equity) at CTGT, Inc.
Jack & Jill
San Francisco•On-site•Salary•3-6 Yrs•13 hours ago
Job description
Machine Learning EngineerLLM InterpretabilitySystemsEnterprise AI GovernanceDeterministic AIGenerative AIAI Research
Overview
CTGT, Inc. is a venture-backed startup building a deterministic governance layer for enterprise AI. As a Machine Learning Engineer, you will work deep within the model stack to make generative AI deterministic and reliable.
Responsibilities
- Operationalize mechanistic interpretability research into production-ready code that improves model behavior through direct internal interventions.
- Design and optimize feature-level intervention systems that enable real-time, auditable policy enforcement during model inference.
- Build robust evaluation and deployment loops to ensure model changes are reliably shipped into complex enterprise VPC environments.
Qualifications
- Possesses deep expertise in Transformer architectures, PyTorch internals, and the mathematical foundations required for advanced deep learning optimization.
- Demonstrates a proven track record of training or fine-tuning models beyond simple augmentation, specifically probing the mechanics of model cognition.
- Exhibits strong technical ownership with the ability to translate academic papers into high-performance Python, Rust, or TypeScript implementations.
Benefits
- Equity