Manager, Machine Learning Engineering

About Clio

Clio stands as the world leader in AI applications for the legal sector, dedicated to enhancing the productivity, security, and speed of legal professionals and firms of all sizes. Our mission is to revolutionize the legal experience by improving the working life of legal professionals while expanding access to justice.

Role Summary

We are recruiting a Manager for our Machine Learning Engineering team to join our swiftly expanding engineering division. This opportunity is open to applicants across Canada. The ideal candidate is passionate about creating advanced agentic AI solutions, tackling new technological challenges, and making significant contributions to our products.

Team Mission

The AI team at Clio aims to transform the legal experience using cutting-edge Generative AI technologies, especially large language models (LLMs) and agentic systems. Our solutions go beyond single model calls, focusing on building workflows where AI agents interpret context, utilize tools, and perform multi-step actions based on clients' real data to improve their operational efficiency.

Key Responsibilities

• Lead and manage a team of machine learning engineers to deliver innovative AI functionalities, focusing on agentic systems, LLMs, and conventional ML models.
• Oversee design, implementation, and deployment of agentic AI systems, including retrieval mechanisms, tool integration, orchestration, and development of robust evaluation frameworks to ensure reliability and safety in production.
• Work collaboratively across departments with MLOps, product management, operations, and data science teams to explore new tools and AI-driven feature opportunities for Clio's customers.
• Operate within an agile development environment alongside ML engineers, MLOps, and full-stack developers on diverse initiatives.
• Engage in continuous learning to stay at the forefront of machine learning and infrastructure advancements in a rapidly evolving domain.
• Participate in a variety of projects, coordinating efforts with engineering teams across multiple international offices.
• Conduct code reviews and provide constructive feedback within your team and company-wide.
• Collaborate broadly within Clio to troubleshoot and resolve complex problems, delivering solutions spanning multiple technical areas.
• Foster a culture of ongoing learning and mentorship by offering and receiving constructive feedback to support professional growth.

Candidate Profile

• Proven experience leading high-performing technical teams.
• Skilled in evaluating diverse ML and LLM solutions, vendors, and quick prototype development to assess feasibility.
• Deep knowledge of agentic AI systems, large language models, and emerging technology trends within this field.
• Practical experience in building agentic workflows such as tool-calling agents, retrieval-augmented generation (RAG) pipelines, prompt engineering, and scalable agent behavior assessment.
• Experience fine-tuning pretrained foundational models or training language models from scratch.
• Strong ability in processing and cleaning complex unstructured datasets for model training and application.
• Quick adaptability to new technologies and effectiveness in dynamic, distributed team environments serving diverse customers.
• Demonstrated mentorship success within software development, preferably utilizing Agile methodologies in large-scale SaaS contexts.
• Broad technical expertise enabling support and solution of complex challenges faced by the team.
• Record of notable past projects highlighting successes and learned lessons.
• Excellent communication skills facilitating trust-building with colleagues and clients.

Compensation and Benefits

• Competitive salary ranging from CAD 181,360 to 272,040, with starting levels influenced by location, expertise, and skillset, and avenues for advancement over time.
• Comprehensive health benefits including dental and vision care.
• Hybrid working model requiring local presence in select cities at least twice weekly.
• Flexible vacation policy encouraging a minimum of 20 days off annually.
• An annual counseling benefit worth $2,000.
• Retirement savings plan (RRSP) matching and contributions to education savings plans (RESP).
• Long-term service recognition program with milestones at 3, 5, 7, and 10 years.

Diversity and Inclusion

Clio values authenticity and is deeply committed to fostering diversity, equity, inclusion, and accessibility in the workplace. We strive to cultivate an environment where every team member feels respected and empowered to perform their best work, no matter their location. We welcome candidates from all backgrounds and provide accommodations throughout the recruitment process as needed.

Recruitment Practices

Our hiring process integrates AI to improve efficiency while ensuring every decision is reviewed by humans. We communicate exclusively through official company email domains to protect candidate privacy and authenticity.