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Manager, Machine Learning Engineer
Clio - Cloud-Based Legal TechnologyManager of Machine Learning Engineering at Clio leading a team to develop innovative AI solutions for legal professionals. Focused on high performance and agile collaboration across multiple engineering teams.
Posted 7/23/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $208,000 - $312,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing high-performing teams of ML engineers, with a strong focus on building and evaluating agentic systems and LLMs. Proficient in collaborating cross-functionally to drive innovative ML solutions and mentoring team members in an agile environment.
Highest-signal resume keywords
Team LeadershipAgentic Systems DevelopmentLLM Fine-TuningTechnical Evaluation of ML ProductsAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Machine LearningLarge Language ModelsGenAIData Pre-ProcessingModel TrainingTool-Calling AgentsRAG PipelinesPrompt DesignContext DesignCode Review
Soft Skills
Clear CommunicationMentorshipProblem SolvingCollaborationFeedback Reception
Industry Keywords
SaaS ProductsAgile ProcessMLOpsCross-Functional CollaborationDistributed Teams
About the role
Key responsibilities & impact- Lead a team of 6 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.
Requirements
What you’ll need- Experience in managing high performing teams (6+ ML Engineers).
- 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 LLMs, GenAI, 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 behavior 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 environment 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.
Benefits
Comp & perks- Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
- Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week.
- Flexible time off policy, with an encouraged 20 days off per year.
- EAP benefits for you and household members, including counseling and online resources
- 401k matching and Child Education Savings
- Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years