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Thomson Reuters
Applied Scientist Intern
Entry-Level JobVerifiedNo experience needed
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What they do
A Research Scientist is responsible for designing, undertaking and analyzing information from controlled laboratory-based investigations, experiments and trials.
$98,802 / year median in Michigan
Job Description
Applied Scientist Intern Thomson Reuters life insurance, parental leave, paid time off, paid holidays, tuition reimbursement, 401(k) United States, Michigan, Ann Arbor Sep 03, 2026 Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Job Description Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs is seeking a ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters s. We undertake a diverse portfolio of projects today, while investing in long-term research for the future. As an Applied Scientist Intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design, to drive the company's digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways. Key Responsibilities As an Applied Scientist Intern, you will:
Experiment and Develop:
You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.Collaborate:
Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.Innovate:
You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges. Required Qualifications You are a fit for theApplied ScientistIntern role if your background includes some of the following: Be currently enrolled in a PhD program in a relevant discipline or a Master's program with research experience. Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods, including Large Language Models. Have experience with model training, fine tuning, and evaluating experiments related to Machine Learning or Large Language Models. Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS) Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace. Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing. Have good communication skills and the ability to work collaboratively as part of a team. Preferred Qualifications This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!Opportunities For Our Applied Science Interns:
Learning & Development:
On-the-job coaching & learning, as well as the opportunity to work with cutting-edge methods and technologiesData and High-Impact Problems:
Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters s agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over 60,000 TBsof legal, regulatory, news, and tax data.Competitive Compensation:
The opportunity to earn while learning new skills #LI-LB1 This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. What's in it For You?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 commitment of 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 tomorrow's 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 paid leave, 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 aReal-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 match. In 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: 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 $0 USD- $0 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $0 USD
- $0 USD. For Ontario, Canada, the base compensation range for this role is $0.00 CAD
- $0.