Manager, Research Science (Foundational Research, Machine Learning)

Thomson Reuters - Eagan, MN

Full-time - Manager

Hybrid - Eagan, MN

10,001+ employees

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About the position

The Research Scientist Manager at Thomson Reuters Labs is responsible for leading teams in foundational machine learning research, focusing on advanced algorithms and training techniques for Large Language Models (LLMs). This role involves strategic planning, mentoring, and managing a diverse global team of experts while innovating and developing state-of-the-art ML/NLP/IR/GenAI approaches. The position requires active collaboration with academic partners and the ability to communicate research findings effectively.

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.
• Communicate 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, including supervision and 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 large language models (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.
• Headspace app subscription for mental wellbeing.
• Retirement and savings plans, including tuition reimbursement.
• Employee incentive programs and resources for mental, physical, and financial wellbeing.
• Access to LinkedIn Learning and internal Talent Marketplace for development.
• Two paid volunteer days annually and employee-driven Business Resource Groups.