Clio - Senior Machine Learning Engineer

• Experience in model development, specifically with traditional machine learning, NLP-based modeling, transformer models;
• Ability to manipulate, clean, pre-process complex unstructured data for model development;
• Experience working with open source LLM foundations models as well APIs for commercial LLMs, such as ChatGPT or Gemeni;
• The ability to gain fluency in new technologies quickly and work effectively in a dynamic and ever-evolving environment that includes distributed teams and customers;
• Demonstrated success in mentorship in software developm ent, 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 portfolio of past projects (including notable successes and lessons learned);
• Excellent communication skills and the ability to build high-trust relationships with fellow Clions and customers;
• Learning new things, and challenging yourself and honing your craft as a machine learning expert;
• Participating 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

Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

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;