Manager, Machine Learning Engineer

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🔥 14 hours ago

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Logo of Clio - Cloud-Based Legal Technology

Clio - Cloud-Based Legal Technology

1001 - 5000 employees

Founded 2008

☁️ SaaS

⚖️ Legal

🔐 Security

SaaS • Legal • Security

Clio is a cloud-based legal technology company that provides comprehensive legal practice management software for law firms. The platform offers a range of solutions including client intake, billing, document management, and calendaring to streamline law firms' operations. Clio is designed to improve the efficiency of legal practices by automating administrative tasks and providing secure, reliable data storage with a strong focus on data security. The software is enhanced with features that accommodate different areas of legal practice, and it integrates with over 250 other tools to optimize workflow for legal professionals. Clio serves solo practitioners as well as small to large law firms worldwide.

📋 Description

• 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

• 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

• 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

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