Manager of Machine Learning Engineering leading a team at Affirm to enhance fraud detection models. Collaborating cross - functionally to integrate high - impact ML solutions into decisioning systems.
About the role
- 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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