Pre-Training AI Research Engineer, Large-Scale GPUs

Jobgether; Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation package

Remote-friendly work environment

Access to high-performance computing infrastructure

Professional growth opportunities

Descripción de la vacante

A leading AI research firm in Spain seeks an experienced AI Research Engineer to advance large-scale pre-training systems. You will work directly with cutting-edge GPU architectures to design training pipelines and improve model performance. Ideal candidates have a PhD in Computer Science or related fields, hands-on experience in LLM pre-training, and strong collaboration skills. Enjoy a competitive compensation package and a remote-friendly work environment focused on frontier AI research.

Formación

• PhD or strong academic/research background in Computer Science, Machine Learning, NLP, or related fields.
• Hands-on experience with large-scale LLM pre-training on distributed GPU infrastructure.
• Strong understanding of transformer architectures and advanced model design techniques.

Responsabilidades

• Conduct large-scale pre-training of AI models on distributed GPU clusters.
• Design, prototype, and optimize novel model architectures.
• Run experiments, analyze results, and refine methodologies.

Conocimientos

Large-scale LLM pre-training

Transformer architectures

PyTorch

Hugging Face ecosystem

Debugging and optimizing model performance

Collaboration in research-driven environments

Educación

PhD or strong academic/research background in Computer Science, Machine Learning, NLP

Herramientas

Distributed training frameworks

Descripción del empleo

A leading AI research firm in Spain seeks an experienced AI Research Engineer to advance large-scale pre-training systems. You will work directly with cutting-edge GPU architectures to design training pipelines and improve model performance. Ideal candidates have a PhD in Computer Science or related fields, hands-on experience in LLM pre-training, and strong collaboration skills. Enjoy a competitive compensation package and a remote-friendly work environment focused on frontier AI research.