Senior Research Engineer (Foundational Research, Machine Learning)

at  Thomson Reuters

Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Research Engineer 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 while investing in long-term research for the future.
As a Senior Research Engineer, 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, fueled by an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. You will have the opportunity to contribute to research publications 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.

In this opportunity, as Senior Research Engineer 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.
Engineer and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, designing, building, and delivering high-quality software frameworks that enables your colleagues to do world-class research.
Collaborate: Working on a collaborative global team of engineers and scientists both within Thomson Reuters and our academic patterns at world-leading universities.