Machine Learning Engineer

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 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. This role is available to candidates across Canada (excluding Quebec). If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days. 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 in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’ needs. A day in the life might look like: Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experience Create LLMs 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 engineering and full stack developers across a variety of projects What you may have: Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models; Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets; Experience with agentic frameworks and workflows Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini; A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers; A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert; Exceptional communication skills and the ability to build trust with both internal teams and external customers; A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer. This posting is for an existing vacancy. 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 $129,200 to $152,000 to $174,800 CAD. There are a separate set of salary bands for other regions based on local currency. *Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate. 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 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.