Senior Machine Learning Engineer

Role overview

Responsibilities

• Develop advanced ML models using structured and unstructured data to improve customer experience.
• Create LLM- and agentic-based solutions that help clients save time and increase efficiency.
• Partner with engineering, product management, operations, and data science to identify ML-driven customer features.
• Work with machine learning engineers, MLOps engineers, and software developers across projects in an agile environment.

Qualifications

• Hands-on model development experience, including designing and shipping agentic systems with retrieval, tool use, orchestration, and production reliability and safety evaluation.
• Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets.
• Experience with open-source LLM foundation models and commercial LLM APIs such as ChatGPT or Gemini.
• A history of projects demonstrating ML expertise, successes, challenges, and growth.
• Clear communication skills and ability to build trust with internal teams and external customers.
• Demonstrated mentorship in software development, particularly using agile processes and working with large-scale SaaS products.
• Ability to learn new technologies quickly and adapt to dynamic, distributed teams and customers.

Workplace

• Candidates may work across Canada or the US. Local candidates at Toronto, Calgary, or Burnaby hubs are expected in the office twice per week; candidates outside hubs may work remotely.
• The description also states a hybrid expectation for local employees at several listed offices, including Calgary, with a minimum of two office days per week.

Compensation

• Expected salary range is CAD 154,700–209,300; the description does not state a pay cadence.
• Final placement depends on geographic region, experience, and skillset.

Benefits

• Total rewards include health, dental, and vision insurance, flexible time off, an annual counseling benefit, RRSP matching, RESP contributions, and recognition programs.

About Clio