SUMMARY:

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.

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 and large language models (LLMs),
• 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.
  

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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.