Manager, Machine Learning (Canada)
Core
Lead a team of ML engineers to build agentic systems and LLM solutions that streamline legal professionals' workflows using GenAI and multi-step reasoning.
Role type
Manager, Machine Learning Engineering (Agentic Systems & LLMs)
Builds
Agentic workflows, retrieval systems, tool-use orchestration, and evaluation frameworks for legal AI products.
Domain
Legal Technology (LegalTech) + Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Team leadership, agentic system design, LLM architecture, technical evaluation of ML/LLM products, fine-tuning foundational models, unstructured data processing, agile mentorship, cross-functional collaboration.
Preferred skills
Experience with distributed teams, rapid technology adoption, solving complex technical problems across diverse projects.
Technologies
GenAI, LLMs, agentic systems, RAG pipelines, tool-calling agents, prompt engineering, MLOps.
Responsibilities
Lead ML engineering team to deliver state-of-the-art AI solutions; guide design and shipping of agentic systems; collaborate cross-functionally on ML tooling; review code and provide feedback; diagnose and solve technical problems across teams; mentor engineers in agile processes.
Seniority
Manager, hands-on IC with team leadership
