RESEARCH ENGINEER, DATA (FOUNDATIONAL RESEARCH, MACHINE LEARNING)

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 Data Engineer with a passion for solving challenging machine learning problems in a data-rich, complex and innovative 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 Research Engineer, you will be part of a diverse global team of experts. We hire worldleading specialists in SWE /Applied ML, as well as Research, to drive the company’s leading internal AI model development, fueled by an unprecedented wealth of data and powered by cutting-edge technical infrastructure. You will have the opportunity to contribute to a data curation & filtering system combining the best of real-world scalable data processing systems combined with the latest insights into what training data leads to the best LLMs. Thomson Reuters Labs is known for consistently delivering successful datadriven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

In this opportunity as a Research Engineer - Data, you will:

• Innovate: You will work at the very cutting edge of AI Research at an institution with some of the richest data sources in the world. Through your work, you will help us make the best use of this resource, in a dynamic flywheel that connects data collection & annotation with model training and expert evaluation, helping us continuously improve our training data. You will also develop novel performance-driven data sub-selection methods together with the latest training insights from our researchers.
• Engineer and Develop: Design, develop, and optimize scalable data pipelines to support LLM training and evaluation. You will also help us develop this in a robust and testable way, through careful source control and a solid back-up system for various data versioning methods.
• Collaborate: Working on a collaborative global team of engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities. In addition, you will work closely with world experts in the legal domain, which can provide feedback to your work and/or evaluate your outputs or annotate training data.