Job Description

At Pattern, powerful, performant models are the backbone of our platform – and as a Machine Learning Engineer, you’ll be the force behind them. You’ll take full ownership of model development and collaborate closely with product managers, engineers and our executive team to bring intelligent, scalable solutions to life. The models you create will directly impact how leading US law firms build, adjudicate and value their mass tort litigation cases—so we’re looking for someone who thrives in both high-level strategic thinking and hands-on implementation. You will: Lead the full data science project lifecycle, from data retrieval and wrangling to model training, validation, deployment, and monitoring Design and apply a range of natural language processing techniques; experience working with medical or legal domain text is particularly valuable Implement and deploy models into highly performant, real-time applications, ideally using containerization (e.g., Docker) Understand practical business implications when developing models, applying domain knowledge to maximize impact and relevance Embrace an iterative approach to software development, delivering value early and often Jump in across the stack when it makes sense, collaborating as a true team player

About Pattern Data

Pattern Data is an AI-powered platform purpose-built for the unique complexities of mass tort litigation, settlement analytics, and claims processing.

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