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:

• Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experience
• Create LLMs based solutions to help Clio’s clients to save time and create efficiencies
• Collaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customers
• Work in an agile environment with our team of machine learning engineers, MLOps engineering and full stack developers across a variety of projects
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What you may have:

• Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;
• Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets;
• Experience with agentic frameworks and workflows
• Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini;
• A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers;
• A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert;
• Exceptional communication skills and the ability to build trust with both internal teams and external customers;
• A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer.