Senior Research Engineer Foundational Research, Machine Learning

Senior Research Engineer (Foundational Research, Machine Learning) Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Research Engineer 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 Engineer you will:
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.
Engineer and Develop:
You can be involved in the entire research & model development lifecycle, brainstorming, designing, building, and delivering high-quality software frameworks that enables your colleagues to do world-class research.
Collaborate:
Working on a collaborative global team of engineers and scientists 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:
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.
Excellent communication skills to report and present software designs and findings 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.
Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity.
Preferred Qualifications:
Contributions to publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar.
Experience working on relevant state-of-the-art engineering topics relevant to large language model (LLMs) research such as distributed computing, building of scalable data pipeline systems, automated evaluation systems or in-depth knowledge of GPUs and parallel computing platforms such as CUDA.
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 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.
Culture:
Globally recognized and award-winning reputation for equality, diversity and inclusion.
Learning & Development:
LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company.
Social Impact:
Eight employee-driven Business Resource Groups; two paid volunteer days annually.
Purpose Driven Work:
We help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
DISCLAIMER The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification.
It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
•