Senior NLP/LLM Engineer - ML for Legal Docs Remote

Thomson Reuters; New York (NY); Hybrid; USD 110,000 - 204,000; Full time

Benefits offered by this job

Hybrid work model

Mental health days

Tuition reimbursement

Employee stock plan

Job summary

Thomson Reuters is seeking a Senior Machine Learning Engineer to design, train, and deploy production ML and LLM systems that extract insights from complex legal documents. You will tackle challenging NLP problems and collaborate with ML engineers, legal experts, product teams, and security partners.

This is a hands-on role for someone who has built, trained, evaluated, and deployed models to production. The position supports remote work within the United States or hybrid work from our New York

Qualifications

• Master’s degree in ML, CS, Statistics, or a closely related quantitative field.
• 3+ years of professional ML engineering, applied ML, or related software engineering experience.
• Hands-on experience building, training, and deploying ML models into production and ability to explain personal contributions.
• Strong practical experience with ML, NLP, and modern LLM architectures.
• Experience with information extraction, text generation/summarization, AI agents, or search.
• Advanced Python and experience with ML frameworks (PyTorch or TensorFlow).
• Experience designing model evaluation methods for production ML systems.

Responsibilities

• Design, build, train, and deploy ML and LLM-based models to solve NLP and document intelligence problems.
• Develop production solutions for information extraction, text generation, AI agents, search, and document analysis.
• Build scalable ML pipelines for training, evaluation, deployment, and production use.
• Develop rigorous model evaluation frameworks and metrics for quality, accuracy, reliability, drift, and bias.
• Optimize model performance and resource use via experimentation, feature engineering, and tuning.
• Translate business problems into ML solutions and drive from experimentation to production at scale.
• Collaborate across ML, engineering, product, legal domain, data, and security teams to deliver reliable AI capabilities.

Skills

Machine Learning

NLP

Python

PyTorch

TensorFlow

Production deployment

Model evaluation

Communication

Collaboration

Problem solving

Education

Master’s degree in ML/CS/Statistics

Tools

PyTorch

TensorFlow

Job description

Thomson Reuters is seeking a Senior Machine Learning Engineer to design, train, and deploy production ML and LLM systems that extract insights from complex legal documents. You will tackle challenging NLP problems and collaborate with ML engineers, legal experts, product teams, and security partners.

This is a hands-on role for someone who has built, trained, evaluated, and deployed models to production. The position supports remote work within the United States or hybrid work from our New York