Senior Machine Learning Engineer – NLP/LLM
Thomson Reuters
Location
🇺🇸 Eagan, United States
Type
full_time
Salary
Undisclosed
Posted
1w ago
Job Description
Job Description
As a Senior Machine Learning Engineer, you will build and deploy production machine learning and large language model (LLM) systems that extract actionable insights from complex legal documents and data. You will work on challenging natural language processing problems involving contractual language, information extraction, model-driven analysis, and comparisons across large collections of documents. You will join a highly technical machine learning team and collaborate with machine learning engineers, legal subject matter experts, product engineers, and data and security partners. This is a hands-on role for someone who has personally built, trained, evaluated, and deployed machine learning models into production and wants to apply that expertise to sophisticated real-world products. This role may be remote within the United States or hybrid from our New York City office.
Key Responsibilities
- Design, build, train, and deploy machine learning and LLM-based models and systems that solve complex natural language processing and document intelligence problems.
- Develop production solutions for areas such as information extraction, text generation and summarization, AI agents, search, and document analysis.
- Build scalable and reliable machine learning pipelines that support model training, evaluation, deployment, and ongoing production use.
- Develop rigorous model evaluation frameworks and metrics to assess model quality, accuracy, reliability, drift, and potential bias.
- Optimize model performance and resource utilization through experimentation, feature engineering, model selection, and tuning.