Manager, Machine Learning (Canada)

Location: Toronto, Vancouver, Remote - Canada, Calgary

Time Type: Full time

Job Description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. 

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization. This role is for someone who is passionate about building agentic solutions and being exposed to new challenges and technologies while making an impact. This role is available to candidates across Canada.
 

What your team does:

We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering teams goal is to deliver an incredible experience to our customers. In the AI team at Clio, we use the latest in GenAI, and LLMs in particular, along with agentic systems, to build solutions that make our customers work more streamlined and efficient, giving them more time to focus on their clients needs. That means going beyond single-shot model calls: we design agentic workflows where models reason over context, use tools, and take multi-step actions on behalf of legal professionals, all grounded in a customers real data.

A day in the life might look like:

• Lead a team of ML engineers to bring state of the art AI to Clios clients, spanning primarily with agentic systems and LLMs, along with traditional machine learning models.
• Guide the team in designing and shipping agentic systems, including retrieval, tool use, orchestration, and the evaluation frameworks that keep them reliable and safe in production.
• Collaborate cross-functionally with MLOps engineering, product management, operations, and data science to identify new tooling for ML and LLM-driven features for Clio customers.
• Work in an agile environment with our team of ML engineers, ML ops, and full stack developers across a variety of projects
• Learn new things, challenge yourself, and hone your craft as an ML and infrastructure expert in a space that is moving fast
• Participate in diverse projects and collaborate with multiple engineering teams across three countries.
• Review and provide feedback on code, both from within your own team or across all of Clio.
• Collaborate with teams across Clio to diagnose, understand, and solve problems, and to build solutions that may span many areas.
• Teach and learn from those around you, providing constructive feedback and taking on feedback to help grow.

What you may have:

• Experience in managing high performing teams.
• Experience with technical evaluations of various ML and LLM products, vendors, out-of-the-box solutions, and conducting quick proof of concepts if necessary.
• In-depth understanding of agentic systems, LLMs, and the competitive landscape, including where the technology is heading.
• Hands-on familiarity with building agentic systems, such as tool-calling agents, RAG pipelines, prompt and context design, and evaluating agent behaviour at scale.
• Experience in fine-tuning foundational models and/or training language models in-house.
• Experience to manipulate, clean, and pre-process complex unstructured data for model development.
• The ability to become fluent in new technologies quickly and work effectively in an ever-evolving environment that includes distributed teams and customers.
• Demonstrated success in mentorship in software development, particularly using an Agile process and with large scale SaaS products.
• A diverse base of knowledge that allows you to help your team solve complex technical problems.
• A history of past projects (including notable successes and lessons learned).
• Clear and concise communication skills and the ability to build high-trust relationships with fellow Clions and customers.
   

## LI-Remote

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.
 

Some highlights of our Total Rewards program include:

• Competitive, equitable salary with top-tier health benefits, dental, and vision insurance 

• Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week. 

• Flexible time off policy, with an encouraged 20 days off per year.

• $2000 annual counseling benefit

• RRSP matching and RESP contribution 

• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range for this role is $181,360 to $272,040 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility 

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers

Were a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, weve built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.