Senior Research Engineer (Foundational Research, Machine Learning)

Thomson Reuters - Eagan, MN

Full-time - Senior

Hybrid - Eagan, MN

10,001+ employees

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About the position

As a Senior Research Engineer at Thomson Reuters Labs, you will engage in innovative machine learning research and development within a collaborative global team. This role focuses on solving complex machine learning problems using a wealth of data and state-of-the-art technical infrastructure, contributing to both research publications and proprietary AI model development.

Responsibilities

• Innovate new ML/NLP/IR/GenAI approaches and mentor junior engineers.
• Engage in the entire research and model development lifecycle, including brainstorming, designing, building, and delivering software frameworks.
• Collaborate with engineers and scientists within Thomson Reuters and academic partners.

Requirements

• Relevant degree in a technical discipline.
• Work experience in a challenging engineering setting, building high-quality software frameworks for research.
• Excellent programming, debugging, and system design skills.
• Strong communication skills for reporting and presenting software designs and findings.
• Curious and innovative disposition capable of devising novel algorithmic solutions.
• Self-driven attitude with the ability to work with limited supervision.
• Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
• Comfortable working in fast-paced, agile environments.

Nice-to-haves

• Contributions to publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL.
• Experience with large language model (LLMs) research topics such as distributed computing and scalable data pipeline systems.
• Previous experience working on 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.
• Access to LinkedIn Learning and internal Talent Marketplace for professional growth.
• Employee-driven Business Resource Groups and paid volunteer days.
• Environmental, Social and Governance (ESG) initiatives for local and global impact.