Applied Scientist Intern

Thomson Reuters

Applied Scientist Intern developing machine learning and NLP solutions at Thomson Reuters, a provider of trusted content and technology. Building and evaluating models for legal, tax, government, and news products.

Posted 9/3/2026full-timeSan Francisco • California, Minnesota, Missouri, New York, Texas • 🇺🇸 United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Natural Language Processing and Machine Learning, with a strong focus on model training, fine-tuning, and evaluation. Proficient in Python programming and experienced in utilizing cloud platforms like AWS for developing innovative solutions in Legal, Tax & Accounting, Government, and News sectors.

Highest-signal resume keywords

Natural Language ProcessingMachine LearningPython ProgrammingAWS Cloud ExperienceML/NLP Libraries

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model TrainingFine-TuningEvaluating ExperimentsData CleaningData Processing

Soft Skills

Good Communication SkillsCollaborative Teamwork

Tools & Technologies

PyTorchTensorFlowScikit-learnSpaCyLangChainHuggingFace

Industry Keywords

Digital TransformationAI TransformationApplied ResearchUnstructured Datasets

Tech Stack

Tools & technologies

AWSCloudPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Experiment with and develop models across the entire model development lifecycle
Build, test, and deliver high-quality solutions
Work collaboratively on cross-functional teams with colleagues across the globe
Try new approaches and learn new technologies
Contribute ideas and solve real-world challenges
Support applied research and development of new products and technologies for Legal, Tax & Accounting, Government, and Reuters News
Contribute to Thomson Reuters’ digital and AI transformation

Requirements

What you’ll need

Currently enrolled in a PhD program in a relevant discipline or a Master’s program with research experience
Understanding and experience with Natural Language Processing and/or Machine Learning methods, including Large Language Models
Experience with model training, fine-tuning, and evaluating experiments related to Machine Learning or Large Language Models
Experience in one or more programming languages, preferably Python
Experience working in the Cloud, preferably AWS
Experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace
Comfortable working with unstructured datasets
Knowledge of data cleaning and processing tools and techniques
Good communication skills
Ability to work collaboratively as part of a team

Benefits

Comp & perks

On-the-job coaching and learning opportunities
Opportunity to work with cutting-edge methods and technologies
Competitive compensation
Flex My Way supportive workplace policies
Paid leave
Two company-wide Mental Health Days off
Headspace app access
Retirement savings
Tuition reimbursement
Employee incentive programs
Mental, physical, and financial wellbeing resources
Two paid volunteer days off annually
Pro-bono consulting project opportunities
Environmental, Social, and Governance (ESG) initiative opportunities
Health, dental, vision, disability, and life insurance programs
Competitive 401(k) 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
Employee Assistance Program
Group Legal Identity Theft Protection benefit
529 Plan access
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan access
Flexible work environments