What your team does:

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 in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’ needs.

A day in the life might look like:

• Lead a team of ML engineers to bring in the state of the art AI to Clio clients, including traditional ML models as well as GenAI and NLP solutions

• Collaborate cross-functionally with MLOps engineering, product management, operations, and data science to identify new tooling for ML-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, challenging yourself, and honing your craft as a ML and infrastructure expert

• Participate in diverse projects and collaborating 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 to those around you, and taking on feedback to help grow

What you may have:

• Experience in managing high performing teams;

• Experience with technical evaluations of various ML products, vendors, out-of-the-box solutions, and conducting quick proof of concepts if necessary

• In-depth understanding of LLMs and their competitive landscape

• 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

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