Manager, Research Science (Foundational Research, Machine Learning)

Thomson Reuters - Frisco, TX

Full-time - Manager

Hybrid - Frisco, TX

10,001+ employees

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About the position

Thomson Reuters Labs is seeking a Research Scientist Manager to lead teams in foundational machine learning research, focusing on advanced algorithms and training techniques for Large Language Models (LLMs). The role involves strategic planning, team management, and hands-on participation in research and development, with an emphasis on solving real-world challenges in a collaborative environment. The manager will guide a diverse global team, contribute to innovative research, and communicate findings to the wider community.

Responsibilities

• Lead strategic planning, hiring, and management in foundational research.
• Innovate and create new state-of-the-art ML/NLP/IR/GenAI approaches.
• Participate in the entire research and model development lifecycle, including brainstorming, coding, testing, and delivering reports.
• Collaborate with a global team of research engineers and academic partners.
• Engage in sharing technical findings through seminars, lectures, and publications.

Requirements

• PhD in a relevant discipline.
• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL).
• Familiarity with deep learning frameworks (e.g., pytorch, jax, tensorflow).
• Experience in ML Research beyond completing a PhD (e.g., supervision, industry experience).
• Excellent communication skills for reporting and presenting research findings.
• Curious and innovative disposition capable of devising novel algorithmic solutions.
• Good social skills to motivate and mentor team members.
• Comfortable in fast-paced, agile environments.

Nice-to-haves

• High-impact publications in top-tier conferences or influence in the research community.
• 5+ years of hands-on experience leading teams in ML/NLP/IR systems.
• Extensive experience with deep learning and large-scale model training.
• Experience with state-of-the-art research topics in LLMs.
• Strong software and infrastructure engineering skills.

Benefits

• Hybrid Work Model with flexible working environment.
• Comprehensive benefit plans including flexible vacation and mental health days.
• Access to LinkedIn Learning and internal Talent Marketplace.
• Two paid volunteer days annually.
• Environmental, Social and Governance (ESG) initiatives.