Cortif Technologies · 15 hours ago
Machine Learning Intern
United States
Internship
Remote
InternCortif Technologies is building Noah AI, a real-time monitoring intelligence for AI systems in production. They are seeking a Founding Machine Learning Engineer to help push the barriers of AI monitoring by building new systems at the intersection of time-series modeling, ML reliability, and production AI.
Responsibilities
Design and train drift forecasting models (predicting when models will fail before they do)
Turn raw telemetry into time-series signals and supervised learning problems
Build interpretable ML systems for LLMs, tabular models, and API endpoints
Work on anomaly detection, robustness scoring, and model behavior analytics
Collaborate directly with the founders on product and research direction
Help define the technical DNA of Cortif from day one
Qualification
Required
Strong background in Machine Learning (industry or research)
Experience with time-series modeling, forecasting, or anomaly detection
Comfortable with tools like Python, PyTorch, LightGBM/XGBoost
Solid understanding of ML systems in production
Curious, opinionated, and excited about building from scratch
Preferred
Experience with LLMs, embeddings, monitoring, or reliability systems
Benefits
Meaningful equity
Remote-friendly, fast-moving, zero-bureaucracy environment
Company
Cortif Technologies
Cortif Technologies is the creator of Noah AI, our real-time monitoring intelligence that never sleeps.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase