ML Research Scientist Intern - NLP & AI Agents

Thomson Reuters

Oregon

Ibrido

USD 34.000 - 55.000

Tempo pieno

8 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Thomson Reuters Labs is seeking a Research Scientist Intern with a strong machine learning research background in NLP, information retrieval, and AI agent design. The role focuses on designing novel methods, running experiments, and potentially publishing findings, with opportunities to influence applied science work within the Labs.

The program emphasizes flexible work-life balance, continuous learning, and industry-impact projects across legal, tax, accounting, government, and news domains.

Competenze

  • PhD enrollment in a relevant discipline with research experience.
  • Publications in top venues (ACL, NAACL, EMNIGIR, ECIR, AAAI) or related venues.
  • Expertise in Information Retrieval and NLP, including training and evaluating language models and building AI agents.
  • Proficiency in Python and cloud platforms (AWS/Azure).

Mansioni

  • Design and prototype new search, deep research, or document drafting methods and evaluations.
  • Run experiments with internal/public data to validate generality and practicality of approaches.
  • Publish research findings and share recommendations for internal deployment.

Conoscenze

NLP research
Information Retrieval
ML experimentation
Python
AWS

Formazione

PhD candidate in relevant field

Strumenti

PyTorch
TensorFlow
HuggingFace

Descrizione del lavoro

Thomson Reuters Labs is seeking a Research Scientist Intern with a strong machine learning research background in NLP, information retrieval, and AI agent design. The role focuses on designing novel methods, running experiments, and potentially publishing findings, with opportunities to influence applied science work within the Labs.

The program emphasizes flexible work-life balance, continuous learning, and industry-impact projects across legal, tax, accounting, government, and news domains.

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