Senior Research Engineer
vor 3 Wochen
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 Thomson Reuters Labs
We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.
About the Role
As a Senior Research Engineer, you will be part of a diverse global team of experts. You will have the opportunity to contribute to research publications as well as contribute to our proprietary AI model research & development.
Key Responsibilities:
- Innovate: Try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts.
- Engineer and Develop: Involved in the entire research & model development lifecycle, brainstorming, designing, building, and delivering high-quality software frameworks.
- Collaborate: Work on a collaborative global team of engineers and scientists both within Thomson Reuters and our academic partners.
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.
- Curious and innovative disposition capable of devising novel algorithmic solutions.
- 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.
Preferred Qualifications:
- Contributions to publications at relevant venues.
- Experience working on relevant state-of-the-art engineering topics.
- Previous experience working on large-scale machine learning systems.
- Strong software and/or infrastructure engineering skills.
What’s in it For You?
- Hybrid Work Model: Flexible hybrid working environment.
- Wellbeing: Comprehensive benefit plans; flexible benefits for work-life balance.
- Culture: Award-winning reputation for equality, diversity and inclusion.
- Learning & Development: LinkedIn Learning access; internal Talent Marketplace.
- Social Impact: Employee-driven Business Resource Groups; paid volunteer days.
- Purpose Driven Work: Help customers pursue justice, truth, and transparency.
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.
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