Machine Learning Engineer

Clio; Vancouver; Hybrid; CAD 129,200 - 174,800; Full time

Benefits offered by this job

Hybrid work environment

20 days off per year

$2000 counseling benefit

RRSP matching

RESP contribution

Clioversary recognition

Job summary

Clio is seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact.

This role is available to candidates across Canada (excluding Quebec). If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be in office minimum twice per week on one of our Anchor Days.

Qualifications

• 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

Responsibilities

• Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer experience
• Create LLM-based solutions to help Clio’s clients 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 engineers and full stack developers across a variety of projects

Skills

Model development

NLP

Transformer models

Data preprocessing

Unstructured data

Agentic frameworks

Open‑source LLMs

ChatGPT API

Adaptability

Communication

Job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary

We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact.

This role is available to candidates across Canada (excluding Quebec). If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days.

What your team does

We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team’s goal is to deliver an incredible experience to our customers. In the AI team in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’ needs.

A day in the life might look like

• Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer experience
• Create LLM-based solutions to help Clio’s clients 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 engineers and full stack developers across a variety of projects

What you may have

• 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

Compensation and benefits

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high‑performing culture.

• 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

The expected salary range for this role is $129,200 to $174,800 CAD. Salary bands are designed to reflect the range of skills and experience needed for the position and allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and is united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers.

We are a human and high performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we’ve built our systems to ensure that a human always reviews AI‑generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.