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Added 13 mins ago
IC
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Clio

Manager, Machine Learning (Canada)

Calgary, AB, Canada
Vancouver, BC, Canada
Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 28, 2026

Original 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 team's 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 customer's real data.

A day in the life might look like:

Lead a team of ML engineers to bring state of the art AI to Clio's 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.

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

We're 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, we've 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.

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More about this job

Responsibilities

Lead and mentor a team of machine learning engineers building and shipping agentic AI systems and LLM-powered features, including retrieval, tool use, orchestration, and production evaluation. Collaborate across engineering, product, operations, and data science to assess technologies, solve complex problems, and deliver reliable AI solutions for legal professionals.

Requirements

Candidates should have experience managing high-performing teams and hands-on expertise with agentic systems, LLMs, RAG pipelines, prompt and context design, and evaluating model behavior. They should also bring experience with ML product evaluations, model fine-tuning or training, unstructured data processing, Agile software development, mentorship, and clear communication.

Skills

Team Management
Machine Learning
Agentic Systems
Large Language Models
Retrieval-Augmented Generation
Tool-Calling Agents
Prompt Design
Context Design
Model Evaluation
Model Fine-Tuning
Language Model Training
Unstructured Data Processing
Agile Development
Software Development
Mentorship
Cross-Functional Collaboration

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Flexible Time Off
Annual Counseling Benefit
RRSP Matching
RESP Contributions
Clioversary Recognition Program

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
Large Language Models
Agentic Systems
Retrieval-Augmented Generation
Tool Use
Orchestration
Evaluation Frameworks
Model Fine-Tuning
Language Model Training
Unstructured Data
MLOps
Data Science
SaaS
Agile
Proof Of Concept
Technical Evaluation
Legal Technology
Production Reliability
Customer Data
Cross-Functional Collaboration
Team Leadership
Mentorship

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