Job Url: https://www.remoterocketship.com/company/patterndata-ai/jobs/machine-learning-engineer-united-states-remote Job Description: Pattern Data Website LinkedIn All Job Openings Pattern Data is a company that specializes in providing AI-powered legal technology solutions, particularly focused on mass tort litigations. Their platform leverages artificial intelligence to automate and expedite the review of medical records, helping legal teams build evidence more efficiently and accurately. By digitizing, analyzing, and categorizing client data, Pattern Data helps improve law firm operations and enhances strategic decision-making. Trusted by leading law firms, their software significantly speeds up case reviews, settlements, and overall litigation processes. 11 - 50 employees 🤖 Artificial Intelligence ☁️ SaaS 💰 Seed Round on 2020-02 Machine Learning Engineer 6 days ago 🇺🇸 United States – Remote ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 Machine Learning Engineer 🚫👨‍🎓 No degree required AWS Docker ElasticSearch GraphQL Postgres Python PyTorch Scala TypeScript Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Who We Are • Pattern Data is an AI-powered platform purpose-built for the unique complexities of mass tort litigation, settlement analytics, and claims processing. • At Pattern, our team is built on a foundation of collaborative ownership, visionary problem-solving, customer-centric solutions, and authenticity. • What You’ll Do • At Pattern, powerful, performant models are the backbone of our platform – and as a Machine Learning Engineer, you’ll be the force behind them. • The models you create will directly impact how leading US law firms build, adjudicate and value their mass tort litigation cases. • Work in the following: • Technologies: Scala, TypeScript, PostgresQL, GraphQL, Elasticsearch, AWS, Python • Tooling: PyTorch, SageMaker, HuggingFace Transformers • Models: BERT, Sentence Transformers, ViTs, CNNs, multimodal models, commercial LLM experience • What You’ll Bring 🎯 Requirements • Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or a related field OR 2+ years of equivalent work experience in a comparable full-time data science role • 2+ years of experience applying NLP techniques and information retrieval, with a strong understanding of modeling and evaluation methods • Proficiency in Scala or Python • Experience in the medical domain is a plus • The ability to share samples of professional, educational, or personal projects demonstrating your skills