Build advanced machine learning models at Clio using natural language processing and structured or unstructured data across Canada and the US. Local hub employees attend offices twice weekly. As a Senior Machine Learning Engineer, you will create LLM and agentic solutions that streamline legal workflows. You will work with retrieval, tool use, orchestration, evaluation frameworks, and complex data preprocessing. Collaboration spans engineering, product management, operations, and data science. The AI team develops tools for legal professionals through GenAI, natural language processing, and agentic systems. Key Responsibilities:





Develop machine learning models using structured and unstructured data Create LLM and agentic solutions for Clio clients Identify ML-driven features with cross-functional teams Work across projects with machine learning and MLOps engineers Requirements:

Design and shipping experience with production agentic systems Proficiency cleaning and preprocessing complex unstructured datasets Experience with open-source models and commercial LLM APIs Explicit communication with internal teams and external customers Mentorship experience using agile software development processes Apply machine learning, LLM, and agentic systems expertise to improve legal professionals’ experiences through Clio.

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📌 Senior Machine Learning Engineer (Vancouver)
🏢 Clio
📍 Vancouver