Senior Research Engineer (Foundational Research, Machine Learning)

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:

1. 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.
2. 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.
3. 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 (2-3 days a week in the office depending on the role).
• 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: Employee-driven Business Resource Groups; two paid volunteer days annually.
• Purpose Driven Work: We help uphold the rule of law and provide trusted, unbiased information to people all over the world.

Do you want to be part of a team helping re-invent the way knowledge professionals work? Join us and help shape the industries that move society forward.

Accessibility

As a global business, we rely on diversity of culture and thought to deliver on our goals. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.