Senior Research Scientist
vor 1 Monat
Are you a curious and open-minded individual with an interest in state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking a Senior Research Scientist 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 Scientist 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.
- Experiment and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, building, testing, and delivering high-quality reports at leading international academic conferences.
- Collaborate: Working on a collaborative global team of research engineers 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:
- PhD student or recent graduate with research experience in a technical discipline.
- First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar.
- Excellent communication skills to report and present research findings and developments 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.
- Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity.
Preferred Qualifications:
- Experience working on relevant state-of-the-art research topics in large language models (LLMs) such as alignment, hallucination detection and reduction, model compression, data-centric techniques, efficient fine-tuning, long context length, synthetic data, combination of LLMs with knowledge graphs etc.
- Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
- 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: two company-wide Mental Health Days Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
- Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
- Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
- Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
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