Clio

Senior Machine Learning Engineer

Vancouver

Actively hiring, first seen by us 10 days ago

Pay: CAD 154,700–209,300/yearAnnual period assumed — pay source
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The expected salary range for this role is $154,700 to $209,300 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Develop advanced ML models using structured and unstructured data
Create LLM and agentic solutions that save clients time
Identify new ML-driven features with product, data science and other teams

From the employer’s posting

Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experience

Create LLM/agentic 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

Apply at Clio

Posting record

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Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 202610 days ago
Recorded sightings: 10
Last seen by us: Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 10

Similar jobs usually come down between day 8 and day 76.

At Clio, jobs usually come down by about day 45.

From 5,460 similar postings that came down, and 15 of Clio’s. Coming down is not always a hire.

Clio is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down quickly

Hiring record

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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 Senior 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 and the US. If you are local to one of our hubs (Toronto, Calgary, or Burnaby) then you will be expected to be in office twice per week on days of your choice. If you are not local to our hubs, then you may work remotely across Canada or the US, but our offices are open if you would like to visit.

What your team does:

At Clio, we are proud to have an exceptional team dedicated to transforming the legal experience for all, and our engineering team’s goal is to deliver outstanding solutions that empower and delight our customers.

The AI team leverages cutting-edge advancements in natural language processing, GenAI and agentic systems to develop innovative tools that streamline workflows, enhance efficiency, and enable legal professionals to focus on what matters most - justice.

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 LLM/agentic 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 engineers, and software developers across a variety of projects

What you may have:

Hands-on experience in model development, specifically with designing and shipping agentic systems, including retrieval, tool use, orchestration, and the evaluation frameworks that keep them reliable and safe in production.
Proficiency in data manipulation, cleaning, and pre-processing for complex unstructured data sets
A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers
Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini
A history of past projects showcasing your successes, challenges, and growth as an ML expert
Clear communication skills and the ability to build trust with both internal teams and external customers
Demonstrated success in mentorship within software development, particularly using an agile process and with large-scale SaaS products
A strong desire to continuously learn, challenge yourself, and refine your craft as an ML engineer

This posting is for an existing vacancy.

#LI-Remote

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, 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 $154,700 to $209,300 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

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

We're 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.

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