Manager, Machine Learning (Canada)

Role Overview

What You Will Do

• Lead ML engineers building AI for clients, primarily with agentic systems and LLMs, alongside traditional machine learning models.
• Guide design and delivery of agentic systems, including retrieval, tool use, orchestration, and evaluation frameworks for reliable and safe production use.
• Partner with MLOps engineering, product management, operations, and data science to identify tooling for ML- and LLM-driven customer features.
• Work in an agile environment with ML engineers, MLOps, and full-stack developers across projects.
• Participate in projects and collaborate with engineering teams across three countries.
• Review and provide code feedback within the team and across Clio.
• Collaborate across teams to diagnose and solve problems and build solutions spanning multiple areas.
• Teach and learn from colleagues, give constructive feedback, and receive feedback to support growth.

What You May Have

• Experience managing high-performing teams.
• Experience technically evaluating ML and LLM products, vendors, and out-of-the-box solutions, and conducting proof-of-concepts as needed.
• In-depth understanding of agentic systems, LLMs, and the competitive landscape and direction of the technology.
• Hands-on familiarity with tool-calling agents, RAG pipelines, prompt and context design, and evaluating agent behavior at scale.
• Experience fine-tuning foundational models and/or training language models in-house.
• Experience manipulating, cleaning, and preprocessing complex unstructured data for model development.
• Ability to learn new technologies quickly and work effectively with distributed teams and customers in an evolving environment.
• Demonstrated success mentoring in software development, particularly with Agile processes and large-scale SaaS products.
• Broad technical knowledge for complex problem-solving and a history of projects, successes, and lessons learned.
• Clear, concise communication and ability to build high-trust relationships with colleagues and customers.

Workplace

• The role is available to candidates across Canada.
• Hybrid work environment; local employees in Vancouver, Calgary, Toronto, Dublin, London, New York City, and Sydney are expected in the office at least twice per week.

Compensation

• Expected salary range is CAD $181,360–$272,040; initial placement depends on geographic region, experience, and skillset, and final offers vary by candidate profile.

Total Rewards

• Health, dental, and vision benefits.
• Flexible time off policy, with 20 days off per year encouraged.
• Annual counseling benefit of $2,000.
• RRSP matching and RESP contribution.
• Recognition program at 3, 5, 7, and 10 years.