NLP & ML Research Scientist Intern

Thomson Reuters

United States

Remoto

USD 34.000 - 55.000

Tempo pieno

9 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Flexible work options (work from home/
Mental health days off
Tuition reimbursement

Descrizione del lavoro

Thomson Reuters Labs is seeking a Research Scientist Intern to advance machine learning research in NLP, IR, and AI agent evaluation. You will contribute to foundational research powering next-gen ML systems for our products and participate in the full research cycle, from design to publishing findings.

The role emphasizes experimental validation, collaboration, and potential publication, with a strong focus on state-of-the-art methods and real-world impact across legal, tax, government, and

Competenze

  • PhD student in a relevant discipline with research experience.
  • Publications in top venues such as ACL/NAACL/EMNLP/ECIR/AAAI or related venues.
  • Expertise in information retrieval and NLP, including training/evaluating language models and building AI agents.

Mansioni

  • Design and research new methods or evaluation for search or document drafting.
  • Run experiments with internal/public data to validate generality and practicality.
  • Share findings and recommendations for internal systems at internship end.

Conoscenze

NLP
Information Retrieval
Machine Learning
Python

Formazione

PhD student in relevant field

Strumenti

PyTorch
TensorFlow
HuggingFace

Descrizione del lavoro

Thomson Reuters Labs is seeking a Research Scientist Intern to advance machine learning research in NLP, IR, and AI agent evaluation. You will contribute to foundational research powering next-gen ML systems for our products and participate in the full research cycle, from design to publishing findings.

The role emphasizes experimental validation, collaboration, and potential publication, with a strong focus on state-of-the-art methods and real-world impact across legal, tax, government, and

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