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 Manager, Machine Learning Engineering to join our rapidly growing engineering organization. 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.

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:

• Lead a team of ML engineers to bring in the state of the art AI to Clio clients, including traditional ML models as well as GenAI and NLP solutions

• Collaborate cross-functionally with MLOps engineering, product management, operations, and data science to identify new tooling for ML-driven features for Clio customers

• Work in an agile environment with our team of ML engineers, ML ops, and full stack developers across a variety of projects

• Learn new things, challenging yourself, and honing your craft as a ML and infrastructure expert

• Participate in diverse projects and collaborating with multiple engineering teams across three countries

• Review and provide feedback on code, both from within your own team or across all of Clio

• Collaborate with teams across Clio to diagnose, understand, and solve problems, and to build solutions that may span many areas

• Teach and learn from those around you - providing constructive feedback to those around you, and taking on feedback to help grow

What you may have:

• Experience in managing high performing teams;

• Experience with technical evaluations of various ML products, vendors, out-of-the-box solutions, and conducting quick proof of concepts if necessary

• In-depth understanding of LLMs and their competitive landscape

• Experience in fine-tuning foundational models and/or training language models in-house

• Experience to manipulate, clean, and pre-process complex unstructured data for model development

• The ability to become fluent in new technologies quickly and work effectively in an ever-evolving environment that includes distributed teams and customers

• Demonstrated success in mentorship in software development, particularly using an Agile process and with large scale SaaS products

• A diverse base of knowledge that allows you to help your team solve complex technical problems

• A history of past projects (including notable successes and lessons learned)

• Clear and concise communication skills and the ability to build high-trust relationships with fellow Clions and customers

#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, and Dublin) to be in office min. once per week on our Anchor Day. 

• Flexible time off policy, with an encouraged 20 days off per year.

• EAP benefits for you and household members, including counseling and online resources