Location: Remote (Canada) or Hybrid (2 days/week)   |   Full-Time   |   $135,000 - $143,000
Python Machine Learning NLP TensorFlow PyTorch AI Engineer Data Science

About Clio: Clio is the market leader in legaltech products, recently raising a Series F round of 1.4 billion CAD to a valuation of 4 billion CAD, making it the largest Canadian tech funding in history. We are committed to building innovative cloud-based solutions that streamline workflows for law firms globally. Our engineering team collaborates across disciplines to design, build, and refine features that meet the evolving needs of legal professionals. Dependability is at the core of everything we do, with competitive salaries, equity options, and a comprehensive benefits package. We embrace a remote-first culture with flexible schedules.

About The Role: We are seeking a Senior Machine Learning Engineer to join our AI team and drive innovation in legal technology. This role involves developing cutting-edge machine learning models that transform how legal professionals work, with a focus on natural language processing and generative AI.

Key Responsibilities:

  • Design and implement machine learning solutions for legal applications
  • Develop and maintain ML infrastructure and pipelines
  • Collaborate with product teams to define requirements for AI features
  • Conduct research on novel ML techniques and apply them to legal problems
  • Mentor junior engineers and promote best practices in ML development
  • Ensure the scalability and reliability of ML systems
  • Stay current with advances in AI and machine learning

Required Skills and Ideal Candidate:

  • Proven experience in machine learning and AI, particularly in NLP and generative models
  • Strong programming skills in Python, R, or similar languages
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Background in statistical modeling and experimentation
  • Ability to translate business requirements into technical specifications
  • Experience deploying ML models to production environments
  • Excellent problem-solving skills with a focus on delivering impactful solutions
  • Bachelor’’s or Master’’s degree in Computer Science, Engineering, or related field
Post Date: August 6, 2025