Machine Learning Engineer

T-Net British Columbia; Calgary; Hybrid; CAD 123,000 - 167,000; Full time

Job summary

A leading legal tech firm is seeking a Machine Learning Engineer in Calgary or remote across Canada. This role involves developing innovative AI solutions, collaborating with teams, and enhancing customer experiences. Ideal candidates have strong skills in traditional machine learning and NLP, with a focus on continuous learning. Competitive salary and benefits are offered with flexible working policies.

Benefits

Competitive salary with top-tier health benefits

Flexible time off policy, encouraged 20 days off per year

RRSP matching and RESP contribution

Clioversary recognition program

Qualifications

• Strong desire to continuously learn and refine craft as a machine learning engineer.
• Portfolio of past projects showcasing successes and growth.

Responsibilities

• Develop advanced machine learning models to improve customer experience.
• Create LLMs based solutions to save time for clients.
• Collaborate with cross-functional teams to identify new features.
• Work in an agile environment with various projects.

Skills

Experience in model development, particularly with traditional machine learning

Hands-on experience with NLP and transformer-based models

Proficiency in data manipulation and cleaning

Experience with open-source LLM models

Exceptional communication skills

Ability to quickly learn new technologies

Job description

Posted July 28, 2025
Calgary / Remote - Canada

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) and the US. 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'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

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 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.

What you will find here:

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.

Some highlights of our Total Rewards program include:

• Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
• Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days.
• Flexible time off policy, with an encouraged 20 days off per year.
• RRSP matching and RESP contribution
• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Clio is more than just a tech company-we are a global leader that is 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) and the US. 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'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

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 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.

What you will find here:

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.

Some highlights of our Total Rewards program include:

• Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
• Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days.
• 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 full salary range* for this role is $123,250 to $145,000 to $166,750 CAD.Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location.

*We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.

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

Our team shows up as their authentic selves, and are 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

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

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