Researcher - Multimodal Foundational Model and Explainability AI Specialist
hace 3 días
Researcher - Multimodal Foundational Model and Explainability AI Specialist
About the Job:The Barcelona Supercomputing Center (BSC) is seeking a highly skilled Researcher to join its High Performance Artificial Intelligence research group. As a Researcher, you will contribute to the development of Explainable AI (XAI) methods for multimodal foundational models. Your work will focus on increasing the transparency and understanding of these models.
Key Responsibilities:
- Contribute to the review of the state-of-the-art in XAI, with a focus on foundational models and Large Language Models (LLMs).
- Identify in-house or external data sources, lead the data gathering and pre-processing pipelines.
- Design and train AI models, implement reliable, reproducible, and automated training and evaluation methodologies.
- Integrate with High-Performance Computing (HPC) environments, document, and disseminate the work done.
The ideal candidate will have a Degree in STEM, Master in STEM, and a PhD in Machine Learning. Essential knowledge and professional experience include XAI methods, LLM evaluation, PyTorch, and advanced knowledge of C++, Python, and Bash.
Additional Requirements:
- Frequent travel may be required.
- Fluent English and Spanish are a must.
The position offers a full-time contract, good working environment, flexible working hours, extensive training plan, restaurant tickets, and private health insurance. The duration of the contract is 4 years, with paid vacation days and additional expenses grant.
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