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About the Role
Clio is seeking a Manager, Machine Learning Engineering to lead a team in building state-of-the-art AI solutions, primarily focusing on agentic systems and LLMs, to enhance customer workflows and efficiency. This role offers exposure to new challenges and technologies within a rapidly growing engineering organization.
Responsibilities
- Lead a team of ML engineers to deliver state-of-the-art AI solutions, including agentic systems, LLMs, and traditional machine learning models.
- Guide the team in designing and shipping agentic systems, encompassing 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 multiple 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 solutions that may span multiple areas.
- 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.
- In-depth understanding of agentic systems, LLMs, and the competitive landscape.
- Hands-on familiarity with building agentic systems, including 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 manipulating, cleaning, and pre-processing complex unstructured data for model development.
- Ability to become fluent in new technologies quickly and work effectively in an ever-evolving environment.
- Demonstrated success in mentorship in software development, particularly using Agile processes and with large-scale SaaS products.
- Diverse knowledge base to help teams solve complex technical problems.
- History of past projects, including successes and lessons learned.
- Clear and concise communication skills.
- Ability to build high-trust relationships with colleagues and customers.
Skills
- Machine Learning Engineering
- Agentic Systems
- Large Language Models (LLMs)
- Traditional Machine Learning
- Retrieval
- Tool Use
- Orchestration
- Evaluation Frameworks
- MLOps
- Product Management
- Data Science
- Agile Methodologies
- SaaS Products
- Software Development Mentorship
- Code Review
- Problem Solving
- Communication
- RAG Pipelines
- Prompt Design
- Context Design
- Fine-tuning Foundational Models
- Training Language Models
- Data Manipulation
- Data Cleaning
- Data Pre-processing
- Unstructured Data Handling
Location
- Canada
Work Type
- Remote
- Hybrid
Experience Level
- Manager
Salary/Compensations
- $181,360 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 off per year)
- $2000 annual counseling benefit
- RRSP matching
- RESP contribution
- Clioversary recognition program
About the Company
- 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.
- We are a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations.
Equal Opportunity
- We are committed 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. Should you require any accommodation, please let us know and we will work with you to meet your needs.