Dec 11, 2025 | Inside Thomson Reuters

The Thomson Reuters Foundational Research team, part of TR Labs, just returned from an action-packed week in San Diego with the Machine Learning (ML) community. Thomson Reuters was proud to be a silver sponsor of the 2025 Conference on Neural Information Processing Systems (NeurIPS), one of the world’s premier gatherings in ML and AI.

This was the second year in a row that Thomson Reuters sponsored the event. This sponsorship reflects our deep investment in the science of AI and our serious commitment to our role as a market-leading technology company shaping the future of trustworthy, professional-grade AI. Here are some of our insights from the week, a brief recap of how our team spent their time, and the roles we’re hiring for on our TR Labs team.

Making connections on the floor at the expo hall

Throughout the week, thousands of attendees spent time in the expo hall, where we had a booth amongst other companies at the forefront of ML research. Hundreds of researchers, practitioners, and students stopped by to learn about our work in data mixture optimization, model efficiency, and responsible evaluation, and many were surprised by the breadth of our AI initiatives and open research.

Our teams spent the week exchanging ideas with the broader community while also meeting exceptional talent—PhDs, postdocs, scientists, and engineers interested in joining our research hubs in London, Toronto, Zug, and Minneapolis. This visibility, alongside our newly announced academic partnership with Imperial College London, underscored how we combine deep, foundational research with domain expertise and enterprise-scale impact.

Open science in action with new advances in AI efficiency

In one of the week’s featured sessions, Jonathan Schwarz, our Head of AI Research, showcased two new publications that exemplify our commitment to scientific rigor and innovation. Jonathan presented new data weighting techniques that improve model training efficiency by up to 500 percent without architectural changes, underscoring the importance of high-quality, diverse data in model performance.

Jonathan also shared advances in efficient evaluation, which reduce the computational cost of benchmarking by up to 18 times. These projects demonstrate how Thomson Reuters blends academic-grade experimentation with industry-scale infrastructure, reaffirming our commitment to open science and responsible innovation.

Check out this video interview with Jonathan to hear more of his thoughts on NeurIPS 2025 and the skills he’s looking to hire for on his Foundational Research team.

Career opportunities with our Foundational Research team and TR Labs

At Thomson Reuters, we’re not just building AI; we’re designing intelligent systems that think, reason, and operate alongside professionals. Thomson Reuters Labs, our applied research division, is where frontier research becomes enterprise-grade innovation: vetted, explainable, and ready for real-world use across law, tax, compliance, and journalism. If you’re passionate about bridging frontier research, explore these openings on our Foundational Research team.

• Manager, Lead Research Scientist, Training Data (Foundational Research): https://ow.ly/7sKU50XC4qq
• Machine Learning Research Engineer (Foundational Research): https://ow.ly/5w6c50XC4qp

Check out our careers site to see all open roles on our TR Labs and Product Engineering teams, which include AI Engineers, Applied Research Scientists, and Senior Applied Research Scientists.

For Thomson Reuters, NeurIPS is more than a conference. It represents our commitment to continuous learning and contribution. It is where ideas become experiments, and experiments become technologies that empower professionals around the world. By showing up, sharing our work, and engaging with the broader research community, we continue to demonstrate what it means to be a responsible leader in AI.

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