Lead machine learning engineering across Canada, focusing on agentic systems and large language models. Build dependable AI solutions for legal professionals at Clio.

Clio seeks a Manager, Machine Learning Engineering for its growing engineering organization. You will guide teams building agentic workflows, retrieval systems, tool use, orchestration, and evaluation frameworks. The work also includes traditional machine learning models, model evaluation, and collaboration across engineering.

Key Responsibilities:

- Lead machine learning engineers delivering AI solutions to Clio clients
- Guide agentic system design, shipping, and production evaluation
- Collaborate with MLOps, product management, operations, and data science
- Review code and provide constructive technical feedback




- Diagnose complex problems across Clio engineering teams

Requirements:

- Experience managing high-performing teams
- Deep understanding of agentic systems and large language models
- Hands-on experience with tool-calling agents and RAG pipelines
- Experience fine-tuning foundational models or training language models
- Explicit communication and high-trust relationship-building skills

Apply machine learning leadership, agentic systems expertise, and LLM knowledge to advance Clio’s legal AI technology across Canada.

📌 Machine Learning Engineering Manager Canada (Toronto)
🏢 Clio
📍 Toronto