Senior Research Scientist (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 Senior Research Scientist with a passion for solving challenging machine learning problems in a data-rich, complex academic environment.

About the Role

In this opportunity, as Senior Research Scientist 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 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 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.

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) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
• Wellbeing:Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country.
• Culture:Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
• Learning & Development:LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
• Social Impact:Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
• Purpose Driven Work:We help uphold the rule of law, turn the wheels of commerce, 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. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

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