Clio · 2 weeks ago
Manager, Machine Learning Engineering
United States+1 more
Full-time
Remote
Lead/Staff
CA$181K/yr - CA$272K/yrClio 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 currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization, focusing on building innovative AI solutions to enhance the legal experience for our customers.
Artificial Intelligence (AI)Enterprise SoftwareLegalSoftwareCRMLegal Tech
Responsibilities
Lead a team of ML engineers to bring state of the art AI to Clio's clients, spanning traditional ML models, GenAI, and agentic AI
Guide the team in designing and shipping agentic systems, including retrieval, tool use, orchestration, and the evaluation frameworks that keep them reliable and safe in production
Collaborate cross-functionally with MLOps engineering, product management, operations, and data science to identify new tooling for ML and LLM-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, challenge yourself, and hone your craft as an ML and infrastructure expert in a space that is moving fast
Participate in diverse projects and collaborate 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 and taking on feedback to help grow
Qualification
Required
Lead a team of ML engineers to bring state of the art AI to Clio's clients, spanning traditional ML models, GenAI, and agentic AI
Guide the team in designing and shipping agentic systems, including retrieval, tool use, orchestration, and the evaluation frameworks that keep them reliable and safe in production
Collaborate cross-functionally with MLOps engineering, product management, operations, and data science to identify new tooling for ML and LLM-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, challenge yourself, and hone your craft as an ML and infrastructure expert in a space that is moving fast
Participate in diverse projects and collaborate 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 and taking on feedback to help grow
Preferred
Experience in managing high performing teams
Experience with technical evaluations of various ML and LLM products, vendors, out-of-the-box solutions, and conducting quick proof of concepts if necessary
In-depth understanding of LLMs, GenAI, and the competitive landscape, including where the technology is heading
Hands-on familiarity with building agentic systems, such as tool-calling agents, RAG pipelines, prompt and context design, and evaluating agent behavior at scale
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
Benefits
Top-tier health benefits, dental, and vision insurance
Hybrid work environment
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
Company
Clio
Clio provides cloud-based legal practice management software, helping law firms manage cases, billing, and client relationships.
Founded in 2008
1001-5000 employees
H1B Sponsorship
Clio has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
100%
Represents job field similar to this job
Engineering and Development
Trends of Total Sponsorships
*2025 (2)
Funding
Current Stage
Late StageTotal Funding
$2.14BKey Investors
Blackstone,Blue OwlNew Enterprise AssociatesOMERS Growth Equity,T. Rowe Price
2025-11-10Series G· $500M
2025-11-10Debt Financing· $350M
2024-07-23Series F· $900M
Leadership Team
Jack Newton
CEO and Founder
Jonathan Watson
Chief Technology Officer
Recent News
2026-07-25
2026-07-25
2026-07-25
Company data provided by crunchbase