Senior Machine Learning Engineer – NLP/LLM

Thomson Reuters is looking for a Senior Machine Learning Engineer to help build and deploy production machine learning and LLM systems that turn complex legal documents and data into actionable insights. This role focuses on natural language processing work across contractual language, information extraction, model-driven analysis, and document comparisons, with a hands-on approach from experimentation through scaled deployment.

Based in Brooklyn, NY (hybrid), the position supports work within the United States or hybrid from the New York City office. The role carries a salary range of USD 100,000 - 235,000 per year, with minimum experience of 3 years.

What you will do

• Design, build, train, and deploy machine learning and LLM-based models to address complex natural language processing and document intelligence problems.
• Develop production solutions including information extraction, text generation and summarization, AI agents, search, and document analysis.
• Build scalable and reliable machine learning pipelines for training, evaluation, deployment, and ongoing production use.
• Create rigorous model evaluation frameworks and metrics to measure quality, accuracy, reliability, drift, and potential bias.
• Improve model performance and resource utilization through experimentation, feature engineering, model selection, and tuning.
• Translate business and product problems into practical machine learning solutions and take them from experimentation to production deployment at scale.
• Collaborate with teams across machine learning, engineering, product, legal domain, data, and security to deliver reliable AI capabilities while protecting sensitive information.

What you bring

• Master’s degree in Machine Learning, Computer Science, Statistics, or a closely related quantitative field, with a focus on machine learning or artificial intelligence.
• 3+ years of professional machine learning engineering, applied machine learning, research engineering, or closely related software engineering experience.
• Demonstrated hands-on experience building, training, and deploying ML models into production, including the ability to explain your individual contribution from model development through deployment.
• Strong practical experience with machine learning, natural language processing, and modern LLM architectures.
• Experience with at least one of: information extraction, text generation/summarization, AI agents, or search.
• Advanced Python skills and hands-on experience with PyTorch or TensorFlow.
• Experience developing or fine-tuning language models or other ML models for specialized use cases or domains.
• Experience designing and applying model evaluation methods and metrics for performance and reliability in production ML systems.
• Ability to translate product or business problems into ML solutions and clearly communicate technical decisions, trade-offs, and outcomes.
• Strong problem-solving, collaboration, and ownership skills across technical and domain-focused teams.

Technologies

• Python
• PyTorch
• TensorFlow
• LLM architectures
• Large language model (LLM)

Benefits

• Hybrid Work Model
• Flex My Way: flexibility and work-life balance, with the ability to work from anywhere for up to 8 weeks per year
• Grow My Way programming and a skills-first approach
• Industry competitive benefits including flexible vacation, two company-wide Mental Health Days off, Headspace, retirement savings, tuition reimbursement, and employee incentive programs
• Social Impact Institute: two paid volunteer days off annually, pro-bono consulting projects, and ESG initiatives
• Comprehensive US benefits package including market competitive health, dental, vision, disability, and life insurance programs
• Competitive 401k plan with company match
• Parental leave, sabbatical leave, paid holidays (including two company mental health days off), and paid time off
• Optional hospital, accident and sickness insurance paid 100% by the employee (as elected)
• Optional life and AD&D insurance paid 100% by the employee (as elected)
• Flexible Spending and Health Savings Accounts
• Fitness reimbursement
• Access to Employee Assistance Program
• Employee-paid Group Legal Identity Theft Protection benefit
• Access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; access to Employee Stock Purchase Plan
• Annual bonus eligibility based on enterprise and individual performance

Preferred qualifications

• PhD in Machine Learning, Computer Science, Statistics, or a closely related quantitative field
• Experience deploying and operating ML or LLM systems at scale in production
• Experience with legal technology, legal NLP, legal document analysis, or other domain-specific language modeling
• Experience applying machine learning within financial services, economics, or other regulated or data-sensitive industries
• Experience serving or self-hosting large language models and optimizing model performance and computational efficiency
• Experience taking complex ML initiatives from experimentation or research through production with measurable product or business impact

Work location details

• Remote within the United States or hybrid from the New York City office
• Eligible office locations include: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC

How AI may be used in recruiting

• Thomson Reuters uses Artificial Intelligence (AI) to support parts of the global recruitment process.
• Unless you opt out, the AI system assesses information you provide, compares it to the role requirements, and presents results to recruitment personnel for review.
• The AI tool supports the process, and a human makes the decision about consideration for the role.