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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

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Research Scientist Intern

Thomson Reuters
Found 2 months ago
Location
London, United Kingdom
Duration (Months)
4.5 Months
Time
Full-time
Work Mode
Hybrid
Salary
Competitive compensation
Visa Help
Not disclosed
Last Verified
2 months ago

Education

  • PhD

Skills & Qualifications

Technical Skills

  • LLMs
  • Machine Learning
  • NLP
  • pytorch
  • jax
  • tensorflow
  • deep learning framework

Soft Skills

  • Curious
  • innovative
  • Excellent communication skills
  • Collaborate
  • Communicate

Job Description

In this opportunity, as a Research Scientist Intern you will: Innovate: You will have the opportunity to innovate and create new state-of-the-art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real-world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models).

Requirements

  • PhD student or recent graduate with research experience in a relevant discipline.
  • Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR).
  • Familiarity with a deep learning framework (e.g. pytorch, jax, tensorflow, …)
  • 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.

Related Field

  • AI & Machine Learning

Related Subfield

  • Natural Language Processing (NLP)

Languages

  • English

Nice to Haves

  • Experience working on at least one relevant state-of-the-art research topic (see our focus areas) in large language models (LLMs).
  • Influential first author publications top-tier venues.
  • Impactful open-source contributions.
  • Strong software and/or infrastructure engineering skills with supporting evidence.
  • Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
▶Apply Now

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