NLP Engineer
Trunk ToolsFull Time
Junior (1 to 2 years)
Candidates should possess 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 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; and a portfolio of past projects showcasing their successes, challenges, and growth as a machine learning expert.
The Machine Learning Engineer will 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, and work in an agile environment with the team of machine learning engineers, MLOps engineering and full stack developers across a variety of projects.
Legal practice management software provider
Clio provides legal practice management software that helps law firms operate more efficiently. Its two main products, Clio Grow and Clio Manage, serve different purposes: Clio Grow enhances the client intake process and engagement, while Clio Manage allows firms to organize tasks, manage cases, handle documents, and process payments in one platform. Clio caters to a diverse clientele, from solo practitioners to large firms, and operates on a subscription model, charging users monthly or annually for access to its software. The goal of Clio is to improve the efficiency of legal practices and reduce administrative burdens, ultimately supporting their growth.