Applied Research Intern - Multiple Teams

Are you a curious and open-minded individual interested in programming and machine learning? Thomson Reuters Labs in Toronto is seeking an 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 News.  We undertake a diverse portfolio of projects today while investing in long-term research for the future. 

As an intern, you will be part of a diverse, 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.

This Thomson Reuters Labs team contributes to several major products that serve research and workflow products to tax and accounting professionals. It is the fastest growing segment of our company, in terms of organic revenues. We are looking for internship candidates on the cutting edge of AI to join us in delivering automation to our tax and accounting customers through transformative enhancements to these products.

About the role 
As a data scientist/research 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. 

About You:

• PhD student/recent graduate, or MSc recent graduate in a discipline relevant to NLP/IR/ML/Statistics,

• Practical and relevant experience building NLP/IR/ML systems, from ideation to implementation,

• Software engineering skills for prototyping,

  • Proficiency in implementing solutions using Python, DL and agentic frameworks, and relevant tools,

  • Experience in using code collaboration and versioning systems such as Github,

  • Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud,

• Data-driven problem-solving and decision-making mindset,

• Curious and innovative disposition capable of proposing outside-the-box solutions,

• Comfortable in communicating (verbal and written) complex AI solutions to audiences with diverse technical backgrounds.

Preferred qualifications:

• Ability to translate academic research into working prototypes and experience experimenting with novel NLP/IR/ML models to solve real-world problems,

• Familiarity with generative AI, large language models (LLMs), and agentic, observability and LLM tracing frameworks,

• Self-driven attitude and ability to work with limited supervision,

• Team player and comfortable to collaborate with internal team members and external stakeholders,

• Comfortable in working in fast-paced, agile environments managing uncertainty and ambiguity,

• Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues are a bonus.

• The preferred length of an internship position is 8 months.

#LI-SS

New Position: This position is open due to an existing vacancy to support our evolving business needs.

What’s in it For You?

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

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.

For Ontario, Canada, the base compensation range for this role is $0.00 CAD - $0.00 CAD.

Base pay is positioned within the range based on several factors including an individual’s 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.

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 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. 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.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on thomsonreuters.com