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 Senior Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact. If you are local to one of our hubs (Toronto, Calgary, or Burnaby) then you will be expected to be in office twice per week on days of your choice. If you are not local to our hubs, then you may work remotely across Canada or the US, but our offices are open if you would like to visit. What your team does At Clio, we are proud to have an exceptional team dedicated to transforming the legal experience for all, and our engineering team’s goal is to deliver outstanding solutions that empower and delight our customers. The AI team leverages cutting‑edge advancements in natural language processing, GenAI and agentic systems to develop innovative tools that streamline workflows, enhance efficiency, and enable legal professionals to focus on what matters most
- justice. Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experience Create LLM/agentic based solutions to help Clio’s clients to save time and create efficiencies Collaborate cross‑functionally with engineering, product management, operations, and data science to identify new ML‑driven features for Clio customers Work in an agile environment with our team of machine learning engineers, MLOps engineers, and software developers across a variety of projects Hands‑on experience in model development, specifically with designing and shipping agentic systems, including retrieval, tool use, orchestration,



and the evaluation frameworks that keep them reliable and safe in production. Proficiency in data manipulation, cleaning, and pre‑processing for complex unstructured data sets A proven ability to quickly learn new technologies and adapt to a agile, fast‑paced environment with distributed teams and customers Experience working with open‑source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini A history of past projects showcasing your successes, challenges, and growth as an ML expert Clear communication skills and the ability to build trust with both internal teams and external customers Demonstrated success in mentorship within software development, particularly using an agile process and with large‑scale SaaS products A strong desire to continuously learn, challenge yourself, and refine your craft as an ML engineer 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. 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. Flexible time off policy, with an encouraged 20 days off per year. ~$The expected salary range for this role is $154,700 to $209,300 CAD. 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'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.

📌 Senior Machine Learning engineer (Toronto)
🏢 Clio
📍 Toronto