Senior Research Scientist (Foundational Research, Machine Learning)

Job Description

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 Senior Research Scientist 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 Scientist, 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 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.  
 

About the Role   

In this opportunity, as Senior Research Scientist 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. 


About You 

You're a fit for the role if your background includes: 

Required Qualifications:

• PhD student or recent graduate with research experience in a technical discipline. 

• First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar. 

• Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. 

• Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. 

• Self-driven attitude and ability to work with limited supervision. 

• Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity. 

Preferred Qualifications:

  

• Experience working on relevant state-of-the-art research topics in large language models (LLMs) such as alignment, hallucination detection and reduction, model compression, data-centric techniques, efficient fine-tuning, long context length, synthetic data, combination of LLMs with knowledge graphs etc. 

• Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. 

• Previous experience working on large-scale machine learning systems. 

• Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. 

 
Other key points: 

Plenty of data, compute, and high-impact problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers.  


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What's in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physica