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Clio - Cloud-Based Legal Technology

Machine Learning Engineer

Clio - Cloud-Based Legal Technology

. Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experience .

Posted 5/7/2026full-timeCalgary • 🇨🇦 CanadaMid-LevelSenior💰 CA$129,200 - CA$174,800 per yearWebsite

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningnatural language processingtransformer-based modelsdata manipulationdata cleaningdata preprocessingLLM foundation modelsAPIsmodel developmentagentic frameworks
Soft Skills
communication skillstrust buildingadaptabilitycontinuous learningproblem-solving