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About the Role
Clio is seeking a Manager, Machine Learning Engineering to lead a team in building innovative AI solutions. This role involves leveraging GenAI, LLMs, and agentic systems to streamline legal professionals' work and improve access to justice.
Responsibilities
- Lead a team of ML engineers to deliver state-of-the-art AI solutions, including traditional ML, GenAI, and agentic AI.
- Guide the team in designing and shipping agentic systems, including retrieval, tool use, orchestration, and evaluation frameworks.
- Collaborate cross-functionally with MLOps engineering, product management, operations, and data science to identify new tooling for ML and LLM-driven features.
- Work in an agile environment with ML engineers, ML ops, and full stack developers on various projects.
- Learn new technologies and develop expertise as an ML and infrastructure expert.
- Participate in diverse projects and collaborate with engineering teams across three countries.
- Review and provide feedback on code from within the team and across the company.
- Collaborate with teams to diagnose, understand, and solve problems, building cross-functional solutions.
- Teach and learn from colleagues, providing and receiving constructive feedback.
Requirements
- Experience managing high-performing teams.
- Experience with technical evaluations of ML and LLM products, vendors, and out-of-the-box solutions, including proof of concepts.
- In-depth understanding of LLMs, GenAI, and the competitive landscape.
- Hands-on familiarity with building agentic systems (tool-calling agents, RAG pipelines, prompt/context design, agent behavior evaluation).
- Experience in fine-tuning foundational models and/or training language models in-house.
- Experience manipulating, cleaning, and pre-processing complex unstructured data for model development.
- Ability to quickly become fluent in new technologies and work effectively in an evolving environment with distributed teams and customers.
- Demonstrated success in mentorship in software development, particularly using Agile processes and with large-scale SaaS products.
- Diverse knowledge base to assist the team in solving complex technical problems.
- History of past projects, including successes and lessons learned.
- Clear and concise communication skills and ability to build high-trust relationships.
Skills
- Machine Learning Engineering
- GenAI
- LLMs
- Agentic Systems
- Retrieval
- Tool Use
- Orchestration
- Evaluation Frameworks
- MLOps
- Product Management
- Data Science
- Agile Methodologies
- SaaS Products
- Communication
- Mentorship
Location
- Canada
- US
- Vancouver
- Calgary
- Toronto
- Dublin
- London
- New York City
- Sydney
Work Type
- Remote
- Hybrid
Experience Level
- Manager
- Senior
Salary/Compensations
- $181,360 to $226,700 to $272,040 CAD
Benefits
- Competitive, equitable salary
- Top-tier health benefits
- Dental insurance
- Vision insurance
- Hybrid work environment
- Flexible time off policy (encouraged 20 days/year)
- $2000 annual counseling benefit
- RRSP matching
- RESP contribution
- Clioversary recognition program
About the Company
- Clio is the global leader in legal AI technology.
- We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
- We are a Human and High Performing AI company.
Equal Opportunity
- We are dedicated to diversity, equity and inclusion.
- 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.