Senior Machine Learning Engineer - NLPLLM

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.
• 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.

Required Qualifications

• Masters 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 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.

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 environments .
• Experience with legal technology legal natural language processing 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 and demonstrating measurable product or business impact.

#LI-TH1

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

Whats in it For You

• Hybrid Work Model: Weve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities whether caring for family giving back to the community or finding time to refresh and reset. This builds upon our flexible work arrangements including work from anywhere for up to 8 weeks per year empowering employees to achieve a better work-life balance.
• Career Development and Growth: By fostering a culture of continuous learning and skill development we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow lead and thrive in an AI-enabled future.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation two company-wide Mental Health Days off access to the Headspace app retirement savings tuition reimbursement employee incentive programs and resources for mental physical and financial wellbeing.
• Culture: Globally recognized award-winning reputation for inclusion and belonging flexibility work-life balance and more. We live by our values: Obsess over our Customers Compete to Win Challenge (Y)our Thinking Act Fast / Learn Fast and Stronger Together.
• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental Social and Governance (ESG) initiatives.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice truth and transparency. Together with the professionals and institutions we serve we help uphold the rule of law turn the wheels of commerce catch bad actors report the facts and provide trusted unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out our AI system will assess the information provided by you and compare it to the requirements listed for the role and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool but there is always a human making the decision if you will be considered for the role.

In the United States Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health dental vision disability and life insurance programs as well as a competitive 401k plan with company addition Thomson Reuters offers market leading work life benefits with competitive vacation sick and safe paid time off paid holidays (including two company mental health days off) parental leave sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally Thomson Reuters offers the following additional benefits: optional hospital accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City San Francisco Los Angeles and/or Irvine CA; McLean VA; Washington DC. The base compensation range for the role in any of those locations is $127000 USD - $235000 USD. For any eligible US locations unless otherwise noted the base compensation range for this role is $110000 USD - $204200 USD. For Ontario Canada the base compensation range for this role is $100000 CAD - $145000 CAD. Base pay is positioned within the range based on several factors including an individuals knowledge skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

About Us

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 26000 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. Sound exciting Join us and help shape the industries that move society forward.

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 . 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

Required Experience:

Senior IC