Who you are

- 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 agentic systems, LLMs, 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 behaviour 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 workplace 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

What the job involves

- 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 agentic solutions and being exposed to new challenges and technologies while making an impact. This role is available to candidates across Canada





- 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 at Clio, we use the latest in GenAI, and LLMs in particular, along with agentic systems, to build solutions that make our customers' work more streamlined and efficient, giving them more time to focus on their clients' needs

- That means going beyond single-shot model calls: we design agentic workflows where models reason over context, use tools, and take multi-step actions on behalf of legal professionals, all grounded in a customer's real data

- Lead a team of ML engineers to bring state of the art AI to Clio's clients, spanning primarily with agentic systems and LLMs, along with traditional machine learning models

- 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

Perks

- Specialized learning and development programs and access to an in-house performance coach

- Equitable compensation for your contributions, regardless of gender, race, or any other identifying factor

- Access to pay transparency on all of our global roles

- Company equity for applicable employees

- RRSP-matching in Canada, 401k in the US, and pension plans in Ireland

- Hybrid model – striking the right balance between the benefits of in person connectivity that in office brings, and the flexibility of remote

- Flexible paid time off (4-week minimum with opportunities for personalization based on individual needs and achievements)

- Parental leave options for birthing and non-birthing parents
- A $500 contribution to your child’s RESP

- Various health, dental, and vision benefits for you and your family, including an Employee and Family Assistance Program

- Virtual and In-person Wellness Programs to support mental and physical health

- Paid time for volunteering through our Clio Gives program

- $2000 annual counseling benefit for CAD Clions

📌 Manager of Machine Learning (Canada)
🏢 Clio
📍 Canada