Manager, Machine Learning Engineering (Canada)

About Clio and the Role

Clio leads globally in legal AI technology, empowering law firms and legal professionals to operate more efficiently and securely. Their mission focuses on improving the legal experience for all by enhancing the work life of legal professionals while expanding access to justice.

They are searching for a Manager of Machine Learning Engineering to join their expanding engineering team. This role, open to candidates across Canada, emphasizes innovation around agentic AI solutions, leading impactful projects within a fast-evolving technological landscape.

Team and Responsibilities

• Lead a group of machine learning engineers to develop cutting-edge AI solutions specializing in agentic systems and large language models (LLMs), as well as conventional ML models.
• Oversee the architecture, deployment, and evaluation of agentic systems involving retrieval techniques, tool utilization, orchestration, and evaluation frameworks ensuring system reliability and safety in production.
• Collaborate cross-functionally with teams including MLOps, product management, operations, and data science to create new ML and LLM-driven customer features.
• Work in an agile environment alongside ML engineers, MLOps specialists, and full-stack developers on diverse projects.
• Continuously expand expertise and challenge yourself in machine learning and infrastructure, adapting to rapid changes in technology.
• Participate in multi-country collaborations with engineering teams spanning three countries.
• Review and provide constructive feedback on code both internally and across Clio.
• Problem-solve collaboratively across teams to build cross-functional solutions.
• Engage in mutual learning and mentorship, fostering team growth and knowledge sharing.

Desired Qualifications

• Proven experience managing high-performing teams in machine learning or related engineering fields.
• Ability to technically evaluate ML and LLM products, vendors, and out-of-the-box solutions, including running rapid proof-of-concept implementations.
• Deep understanding of agentic systems, LLMs, and emerging trends within the competitive AI landscape.
• Hands-on experience constructing agentic systems, such as tool-calling agents, retrieval-augmented generation (RAG) pipelines, as well as prompt and context engineering and scalable agent behaviour evaluation.
• Practical knowledge of fine-tuning foundational language models and/or training custom models internally.
• Experience manipulating, cleaning, and preprocessing complex unstructured datasets for developing models.
• Quick adaptability to new technologies and effective collaboration across distributed teams and customers.
• Demonstrated track record in mentoring software developers, especially within Agile frameworks and large-scale SaaS environments.
• Broad technical insight enabling effective support in solving complex issues faced by the team.
• A portfolio of projects highlighting notable achievements and lessons learned.
• Excellent communication skills capable of building trust with colleagues and clients alike.

Total Rewards and Benefits

• Competitive and fair salary with comprehensive health, dental, and vision insurance coverage.
• Hybrid work policy requiring in-office presence at least twice per week for local offices in cities such as Vancouver, Calgary, Toronto, Dublin, London, New York City, and Sydney.
• Flexible vacation policy encouraging 20 days of time off annually.
• Annual $2000 counseling support benefit.
• Retirement saving plans including RRSP matching and RESP contributions.
• Recognition program celebrating service anniversaries at 3, 5, 7, and 10 years.

Salary and Diversity Commitment

The anticipated salary band for this position ranges from 181,360 to 272,040 CAD, with placement based on geography, experience, and skills, alongside opportunities for growth aligned with impact and tenure.

Clio is committed to diversity, inclusion, belonging, equity, and accessibility, promoting authentic expression and a welcoming environment. They encourage applicants from all backgrounds and provide accommodations during recruitment to ensure accessibility.

All communications are conducted via official company email addresses to maintain security and authenticity.