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Tailor your resume to this Senior Machine Learning Engineer – NLP/LLM role.
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About the Role
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.
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.
- Translate complex business and product problems into practical machine learning solutions and take those solutions from experimentation through production deployment at scale.
- Collaborate across machine learning, engineering, product, legal domain, data, and security teams to deliver reliable AI capabilities while protecting sensitive information.
Requirements
- Master’s degree in Machine Learning, Computer Science, Statistics, or a closely related quantitative field with a focus on machine learning or artificial intelligence.
- 5+ 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 machine learning models into production, including the ability to explain your individual contribution from model development through production deployment.
- Strong practical experience with machine learning, natural language processing, and modern LLM architectures.
- Experience with at least one of the following: information extraction, text generation/summarization, AI agents, or search.
- Advanced Python programming skills and hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
- Experience developing or fine-tuning language models or other machine learning models for specialized use cases or domains.
- Experience designing and applying model evaluation methods and metrics to measure the performance and reliability of production machine learning systems.
- Ability to translate product or business problems into machine learning solutions and clearly communicate technical decisions, trade-offs, and outcomes.
- Strong problem-solving, collaboration, and ownership skills, with the ability to work effectively across technical and domain-focused teams.
Skills
- Machine Learning
- Large Language Models (LLM)
- Natural Language Processing (NLP)
- Information Extraction
- Text Generation
- Text Summarization
- AI Agents
- Search
- Document Analysis
- Python
- PyTorch
- TensorFlow
Location
- Remote within the United States
- Hybrid from New York City office
Work Type
- Hybrid
- Remote
Experience Level
- 5+ years of professional experience
- Senior
Education Level
- Master’s degree in Machine Learning, Computer Science, Statistics, or a closely related quantitative field with a focus on machine learning or artificial intelligence.
- PhD in Machine Learning, Computer Science, Statistics, or a closely related quantitative field (Preferred)
Salary/Compensations
- $127,000 USD - $235,000 USD (New York City, San Francisco, Los Angeles, Irvine, CA; McLean, VA; Washington, DC)
- $110,000 USD - $204,200 USD (Other US locations)
- $100,000 CAD - $145,000 CAD (Ontario, Canada)
Benefits
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings with company match
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Market competitive health, dental, vision, disability, and life insurance programs
- Competitive 401k plan with company match
- Competitive vacation, sick and safe paid time off
- Paid holidays
- Parental leave
- Sabbatical leave
- Optional hospital, accident and sickness insurance
- Optional life and AD&D insurance
- Flexible Spending and Health Savings Accounts
- Fitness reimbursement
- Access to Employee Assistance Program
- Group Legal Identity Theft Protection benefit
- Access to 529 Plan
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan
About the Company
- Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
- We serve professionals across legal, tax, accounting, compliance, government, and media.
- Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
- Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
- We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
- At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
- Join us and help shape the industries that move society forward.
Equal Opportunity
- As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
- Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
- Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
- If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
- Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations.
- Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations.
- More information on requesting an accommodation here.
- Learn more on how to protect yourself from fraudulent job postings here.
- More information about Thomson Reuters can be found on thomsonreuters.com