Machine Learning Engineering Manager

Clio; Toronto; On-site; CAD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid model

Equitable compensation

Equity for applicable employees

RRSP matching (Canada)

Job summary

Clio is seeking a Manager, Machine Learning Engineering to join a fast-growing engineering organization. Lead a team of ML engineers delivering state-of-the-art AI solutions for Clio’s clients, spanning traditional ML models, GenAI, and agentic AI.

You will guide design and shipping of agentic systems, including retrieval, tool use, orchestration, and evaluation frameworks ensuring reliability and safety in production.

Qualifications

• Experience leading ML teams delivering SaaS products.
• Strong understanding of ML models, GenAI and agentic AI.
• Ability to design and ship agentic systems with reliable evaluation.

Responsibilities

• Lead a team of ML engineers across projects and countries.
• Collaborate with MLOps, product, operations and data science to identify tooling and features.
• Review code and collaborate across Clio to diagnose and solve problems.
• Mentor engineers and foster growth within the team.

Skills

Team leadership

ML engineering

GenAI

Agentic AI

LLMs

MLOps collaboration

Tools

RAG pipelines

Tool-calling agents

Prompt design

Model fine-tuning

Job description

• 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
• 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

Benefits

• 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

• Demonstrated success in mentorship in software development, particularly using an Agile process and with large scale SaaS products
• Clear and concise communication skills and the ability to build high-trust relationships with fellow Clions and customers
• Experience to manipulate, clean, and pre-process complex unstructured data for model development
• In-depth understanding of LLMs, GenAI, and the competitive landscape, including where the technology is heading
• A history of past projects (including notable successes and lessons learned)
• Experience in managing high performing teams
• Experience in fine-tuning foundational models and/or training language models in-house
• The ability to become fluent in new technologies quickly and work effectively in an ever-evolving environment that includes distributed teams and customers
• Hands-on familiarity with building agentic systems, such as tool-calling agents, RAG pipelines, prompt and context design, and evaluating agent behavior at scale
• A diverse base of knowledge that allows you to help your team solve complex technical problems
• Experience with technical evaluations of various ML and LLM products, vendors, out-of-the-box solutions, and conducting quick proof of concepts if necessary