Machine Learning Engineer

## About the Role Ritual is building a sovereign execution layer for AI. The Ritual chain is the first blockchain custom-built to support AI-native operations at the intersection of crypto and AI. As a Machine Learning Engineer, you will work on applied machine learning projects powering customer-facing products. ## Responsibilities - Scale model inference and predictions on advanced ML models - Connect ML models to user-facing interfaces including APIs and applications - Design and implement large-scale data and ML pipelines - Automate data ETL pipelines and deploy ML models to production - Collaborate cross-functionally with engineers, researchers, and product managers ## Requirements - Software engineering background with ML model deployment experience - Proficiency in Python with frameworks like PyTorch, TensorFlow, JAX, and HuggingFace - Ability to evaluate ML system tradeoffs and design scalable architectures - Experience with MLOps and orchestration pipelines preferred - Interest in privacy, computational integrity, or decentralized technology