Sign Language AI Engineer: LLM Adaptation

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH

España

Presencial

EUR 16.000 - 21.000

A tiempo parcial

Hace 4 días
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Descripción de la vacante

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH seeks a researcher to adapt language models to sign language, covering data prep through model training. The role focuses on data generation and model development in a collaborative research environment in Spain.

The candidate should have background in deep learning, NLP, and software development, with experience in Python, PyTorch, and Hugging Face. Part-time, temporary position with 20 hours per week starting 1 Nov 2026.

Formación

  • Knowledge of Catalan Sign Language at a basic level.
  • Proficiency in Natural Language Processing.

Responsabilidades

  • Generate synthetic data from textual or video data.
  • Develop data augmentation methods for sign language.
  • Integrate computer vision and language processing for sign language.
  • Adapt LLMs for understanding, translating, and generating sign language.
  • Develop a prototype translation system for the medical field.
  • Master Transformer architecture and adaptations to LLMs (PyTorch, Hugging Face).
  • Perform NLP tasks including tokenization and embeddings.
  • Evaluate text generation models.
  • Program in Python with PyTorch and Hugging Face tools.
  • Work with Linux-based systems.

Conocimientos

Deep Learning
Data Science
Python
NLP

Educación

Academic degree in a relevant field

Herramientas

PyTorch
Hugging Face

Descripción del empleo

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH seeks a researcher to adapt language models to sign language, covering data prep through model training. The role focuses on data generation and model development in a collaborative research environment in Spain.

The candidate should have background in deep learning, NLP, and software development, with experience in Python, PyTorch, and Hugging Face. Part-time, temporary position with 20 hours per week starting 1 Nov 2026.

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