Pattern Data

Machine Learning Engineer

United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Legal Tech, Artificial Intelligence, SaaSIndustries

Machine Learning Engineer

Position Overview

Pattern Data is seeking a Machine Learning Engineer to join our growing team. As a Machine Learning Engineer, you will be the driving force behind the powerful, performant models that form the backbone of our AI-powered platform for mass tort litigation, settlement analytics, and claims processing. You will take full ownership of model development, collaborating closely with product managers, engineers, and the executive team to create intelligent, scalable solutions. The models you develop will directly influence how leading US law firms build, adjudicate, and value their mass tort litigation cases.

Responsibilities

  • 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.
  • Collaborate across the stack as a true team player.

Technologies & Tooling

  • Technologies: Scala, TypeScript, PostgresQL, GraphQL, Elasticsearch, AWS, Python
  • Tooling: PyTorch, SageMaker, HuggingFace Transformers
  • Models: BERT, Sentence Transformers, ViTs, CNNs, multimodal models, commercial LLM experience

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.

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. We automate critical processes like case analysis, documentation, and valuation, leading to faster, more accurate outcomes that dynamically adapt to evolving settlement criteria. Our platform replaces manual inefficiencies with data-driven decision-making, empowering firms to scale operations, reduce costs, and secure stronger results in higher-volume litigations. At Pattern, our team is built on a foundation of collaborative ownership, visionary problem-solving, customer-centric solutions, and authenticity.

Application Instructions

Please apply directly through our website or LinkedIn.

Skills

Machine Learning
Data Science
Data Retrieval
Data Wrangling
Model Training
Model Validation
Model Deployment
Model Monitoring
Natural Language Processing (NLP)
Containerization
Docker
Python

Pattern Data

AI platform for streamlining litigation processes

About Pattern Data

Pattern Data provides an AI-powered software platform aimed at improving the litigation process for law firms, especially those handling mass tort cases. The platform automates repetitive tasks like reviewing medical records and extensive documentation, enabling legal teams to gather evidence more efficiently and reduce case backlogs. It also offers features such as predicting case quality, conducting rapid case reviews, and automating settlement analysis. Unlike its competitors, Pattern Data focuses specifically on the needs of law firms, providing tools that enhance productivity and accuracy in case management. The goal of Pattern Data is to streamline legal operations, allowing firms to make informed strategic decisions based on comprehensive data analysis.

Charlotte, North CarolinaHeadquarters
2020Year Founded
$1.1MTotal Funding
SEEDCompany Stage
Enterprise Software, AI & Machine Learning, LegalIndustries
11-50Employees

Risks

Competitors like Luminance and Kira Systems are advancing their AI capabilities.
Data privacy regulations like CPRA may increase compliance costs for Pattern Data.
Law firms developing in-house AI solutions could reduce demand for Pattern Data.

Differentiation

Pattern Data uses AI to streamline personal injury claims processing.
The platform automates tedious tasks, improving efficiency for law firms.
Pattern Data offers predictive analytics to enhance case quality assessment.

Upsides

AI adoption in legal tech increased by 30% in 2023.
AI in legal tech is projected to grow at a 28% CAGR until 2028.
AI can reduce case processing time by up to 50%, boosting efficiency.

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