AI Research Engineer: Multi-Modal & LLM Innovation

Tether; Madrid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

Tether is seeking a member of the AI model team to drive innovation in architecture development for cutting-edge models. Your deep expertise in Large Language Model (LLM) and Multi-Modal architectures will be crucial as you work on improving efficiency and capabilities.

The ideal candidate will have a PhD in a related field and extensive experience with large-scale training systems, particularly using NVIDIA GPUs. This role offers the opportunity to advance the field of AI significantly.

Formación

• A degree in Computer Science or a related field; ideally a PhD.
• Experience with large-scale LLM or Multi-Modal pre-training.
• Familiarity with large-scale, distributed training frameworks.

Responsabilidades

• Conduct foundational pre-training for LLMs and Multi-Modal models.
• Design and prototype innovative architectures and alignment layers.
• Source, filter, and curate massive-scale datasets.

Conocimientos

Large Language Model (LLM)

Multi-Modal architectures

Pre-training optimization

PyTorch

Hugging Face libraries

Educación

PhD in NLP, Machine Learning, or related field

Degree in Computer Science or related field

Herramientas

Distributed training frameworks

NVIDIA GPUs

Descripción del empleo

Tether is seeking a member of the AI model team to drive innovation in architecture development for cutting-edge models. Your deep expertise in Large Language Model (LLM) and Multi-Modal architectures will be crucial as you work on improving efficiency and capabilities.

The ideal candidate will have a PhD in a related field and extensive experience with large-scale training systems, particularly using NVIDIA GPUs. This role offers the opportunity to advance the field of AI significantly.