Machine Learning Engineer developing machine learning models to enhance legal technology solutions at Clio. Collaborating with teams to identify ML-driven features and improve customer experience.
Responsibilities
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
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
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
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