Senior ML Engineer: NLP/LLM for Legal Tech (Remote)

Thomson Reuters; Ann Arbor (MI); Hybrid; USD 110,000 - 235,000; Full time

Benefits offered by this job

Hybrid work model

Flex My Way

Career development

Industry benefits

Culture of inclusion

Social impact

Real-world impact

Job summary

Thomson Reuters seeks a Senior Machine Learning Engineer to build and deploy production ML and LLM systems for extracting insights from legal documents. You will collaborate with ML, legal, product, and data teams to deliver scalable AI capabilities while protecting sensitive information.

The role emphasizes hands-on model development, evaluation, and deployment at scale within a hybrid or remote US setting.

Qualifications

• Master's degree in Machine Learning, Computer Science, Statistics, or related quantitative field.
• 3+ years of professional ML engineering or closely related software experience.
• Hands-on experience building, training, and deploying ML models into production.
• Strong experience with ML, NLP, and modern LLM architectures.
• Experience with information extraction, text generation, or search.
• Advanced Python programming and experience with PyTorch or TensorFlow.

Responsibilities

• Design, build, train, and deploy ML and LLM-based models for NLP and document intelligence.
• Develop production solutions for information extraction, text generation, summarization, AI agents, search.
• Build scalable ML pipelines for training, evaluation, deployment, and production use.
• Develop model evaluation frameworks to assess quality, accuracy, drift, and bias.
• Optimize model performance and resource use through experimentation and tuning.
• Translate business problems into ML solutions and deploy at scale.
• Collaborate with ML, engineering, product, legal, data, and security teams.

Skills

Advanced Python

PyTorch

TensorFlow

NLP

LLM architectures

Production ML

Model deployment

Education

Master's degree in ML/CS/Statistics

PhD (preferred) in ML/CS/Statistics

Tools

PyTorch

TensorFlow

Job description

Thomson Reuters seeks a Senior Machine Learning Engineer to build and deploy production ML and LLM systems for extracting insights from legal documents. You will collaborate with ML, legal, product, and data teams to deliver scalable AI capabilities while protecting sensitive information.

The role emphasizes hands-on model development, evaluation, and deployment at scale within a hybrid or remote US setting.