Research Scientist Intern (Foundational Research, Machine Learning)

at  Thomson Reuters

Are you a curious and open-minded individual with an interest in state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking a Research Scientist Intern with a passion for solving challenging machine learning problems in a data-rich, complex academic environment.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our product teams through foundational 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 global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development, fuelled by an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. 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.
The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability.
About the Role
In this opportunity, as Research Scientist Intern you will:
Innovate: You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available.
Experiment and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, building, testing, and delivering high-quality reports at leading international academic conferences.
Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities.

Please refer the Job description for details