Pattern DataPD

Machine Learning Engineer

Pattern Data solutions revolutionize mass tort litigation by leveraging AI for efficient case review and management.

Pattern Data

Employee count: 51-200

United States only

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. We’re looking for a Machine Learning Engineer to join our growing team.

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. 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’ll help guide technical direction, influence product strategy, and write clean, thoughtful code that drives real-world outcomes. 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
  • 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

  • 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

Ready to meet us?

Please apply directly through our website or Linkedin. We are excited to hear from you!

About the job

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Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United States +/- 0 hours

About Pattern Data

Learn more about Pattern Data and their company culture.

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Pattern Data is a cutting-edge software development company specializing in legal technology solutions aimed at transforming mass tort litigation through artificial intelligence. Our flagship platform enhances efficiency in mass tort case management and streamlines the litigation process, promising to deliver results that are both rapid and precise.

Our mission revolves around providing law firms the ability to analyze thousands of medical records within minutes. By categorizing documents swiftly and surfacing pertinent information, our software minimizes the manual burden typically associated with retrieving and validating evidence in legal cases. This innovative approach allows legal teams to focus on building compelling cases and improving their overall productivity. We believe that integrating AI into the legal workflow does not replace human expertise; instead, it empowers legal professionals, making operations more effective and informed, thus unlocking unparalleled speed in case evaluations, intake processes, and settlement analyses.

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Pattern Data

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Pattern Data hiring Machine Learning Engineer • Remote (Work from Home) | Himalayas