PhD AI Research Lead - Hybrid/Remote, Generative AI

NeuralTrust

Barcelona

Híbrido

EUR 90.000 - 150.000

Jornada completa

14 días+
Generador de candidaturas

Una candidatura hecha para este puesto de trabajo — un currículum y una carta de presentación adaptados que responden directamente a la oferta.

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Ventajas ofrecidas por este puesto de trabajo

Transport stipend
Restaurant benefits
Baby daycare

Descripción de la vacante

NeuralTrust, a Barcelona-based AI startup, is seeking an AI Research Engineer (PhD required) to lead product vision, shape platform strategy, and work with enterprise clients to scale AI transformation.

You will design AI-driven components, apply NLP/LLMs, lead model fine-tuning experiments, develop data pipelines, and publish findings while bridging research and engineering. Hybrid remote role with competitive compensation.

Formación

  • PhD in AI/ML or related field required.
  • Strong publications, patents, or significant contributions to AI.
  • Proficient in Python with experience in ML/DL frameworks (PyTorch/TF).

Responsabilidades

  • Design and implement novel AI-driven components of our platform.
  • Apply state-of-the-art research in NLP, LLMs, and generative AI to production systems.
  • Lead experiments in fine-tuning, evaluation, and deployment of advanced models.
  • Develop efficient pipelines for large-scale data and model training.
  • Collaborate with engineering and product teams to turn research into practical solutions.
  • Publish technical articles, internal papers, and contribute to our knowledge base.
  • Stay at the frontier of AI by evaluating new research and integrating findings.

Conocimientos

Python
PyTorch
TensorFlow
NLP

Educación

PhD in AI/ML or related field

Herramientas

PyTorch
TensorFlow
Scikit-learn

Descripción del empleo

NeuralTrust, a Barcelona-based AI startup, is seeking an AI Research Engineer (PhD required) to lead product vision, shape platform strategy, and work with enterprise clients to scale AI transformation.

You will design AI-driven components, apply NLP/LLMs, lead model fine-tuning experiments, develop data pipelines, and publish findings while bridging research and engineering. Hybrid remote role with competitive compensation.

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