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 $174,800 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.
