Applied Scientist Intern — ML/NLP Research & Innovation

Thomson Reuters

New York (NY)

In loco

USD 28.000 - 41.000

Tempo pieno

14 giorni+

Aumenta le possibilità di ricevere una risposta da questo datore di lavoro

Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Descrizione del lavoro

Thomson Reuters Labs is seeking an Applied Scientist Intern to work on ML/NLP projects with state-of-the-art techniques. The role involves a full lifecycle from experimentation to deployment, collaborating with a global team across Legal, Tax & Accounting, Government, and Reuters News domains.

Ideal candidates are pursuing a PhD or a Master’s with research experience, skilled in Python and NLP libraries, and comfortable handling unstructured data while communicating effectively within a team.

Competenze

  • Currently enrolled in a PhD program or a Master's with research experience.
  • Experience with NLP/ML methods, including Large Language Models.
  • Experience with model training, fine-tuning, and evaluation of ML/LLM experiments.
  • Proficiency in Python and cloud experience (prefer AWS).
  • Experience with ML/NLP libraries (PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, HuggingFace).
  • Comfort with unstructured data and data cleaning/processing techniques.
  • Strong communication and collaborative skills.

Mansioni

  • Experiment and develop: build, test, and deliver ML/NLP solutions across the lifecycle.
  • Collaborate with a cross-functional global team to share insights and learn.
  • Innovate by trying new approaches and technologies to solve real-world challenges.

Conoscenze

NLP/ML concepts
Python
AWS Cloud
PyTorch/TensorFlow

Formazione

PhD candidate or Master's with research

Strumenti

PyTorch
TensorFlow
Scikit-learn
spaCy
LangChain
HuggingFace

Descrizione del lavoro

Thomson Reuters Labs is seeking an Applied Scientist Intern to work on ML/NLP projects with state-of-the-art techniques. The role involves a full lifecycle from experimentation to deployment, collaborating with a global team across Legal, Tax & Accounting, Government, and Reuters News domains.

Ideal candidates are pursuing a PhD or a Master’s with research experience, skilled in Python and NLP libraries, and comfortable handling unstructured data while communicating effectively within a team.

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