Senior Research Scientist (Foundational Research, Machine Learning)

Thomson Reuters - Eagan, MN

Full-time - Entry Level

Hybrid - Eagan, MN

10,001+ employees

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About the position

The Senior Research Scientist at Thomson Reuters Labs is responsible for conducting foundational machine learning research and developing innovative solutions in a collaborative environment. This role involves experimenting with state-of-the-art machine learning techniques, mentoring by leading experts, and contributing to the development of proprietary AI models. The position offers opportunities to publish research findings and engage in the entire research and model development lifecycle, addressing real-world challenges using extensive data resources.

Responsibilities

• Innovate new ML/NLP/IR/GenAI approaches and mentor junior researchers.
• Contribute ideas and work on solving real-world challenges using available data.
• Participate in the entire research and model development lifecycle, including brainstorming, building, testing, and delivering reports.
• Collaborate with a global team of research engineers and academic partners.

Requirements

• 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 for reporting and presenting research findings.
• Curious and innovative disposition capable of devising novel algorithmic solutions.
• Self-driven attitude with the ability to work with limited supervision.
• Comfortable in fast-paced, agile environments, managing uncertainty and ambiguity.

Nice-to-haves

• Experience with large language models (LLMs) including alignment, hallucination detection, and model compression.
• Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
• Previous experience with large-scale machine learning systems.
• Strong software and/or infrastructure engineering skills, evidenced by contributions to open-source libraries.

Benefits

• Hybrid Work Model with flexible working environment.
• Comprehensive benefit plans including flexible vacation and mental health days off.
• Work from another location for up to 8 weeks a year.
• Headspace app subscription for mental wellbeing.
• Retirement savings and tuition reimbursement programs.
• Employee incentive programs and resources for mental, physical, and financial wellbeing.
• Access to LinkedIn Learning and internal Talent Marketplace for professional development.
• Two paid volunteer days annually and participation in ESG initiatives.