Research Scientist Intern (Foundational Research, Machine Learning)

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.

About the Role

In this opportunity, as Research Scientist Intern you will:

1. 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.
2. 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.
3. Collaborate:Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities.

About You

You're a fit for the role of Research Scientist Intern 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, 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 in 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.

What's in it For You?

• Hybrid Work Model:We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role).
• Wellbeing:Comprehensive benefit plans; flexible and supportive benefits for work-life balance.
• Culture:Globally recognized and award-winning reputation for equality, diversity and inclusion.
• Learning & Development:LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company.
• Social Impact:Employee-driven Business Resource Groups; two paid volunteer days annually.
• Purpose Driven Work:We help uphold the rule of law and provide trusted, unbiased information to people all over the world.

Do you want to be part of a team helping re-invent the way knowledge professionals work? Join us and help shape the industries that move society forward.

Accessibility

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world.

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