PhD-Track AI Research Fellow (Open Science)

Meta; Paris; Hybride; EUR 42 000 - 54 000; Plein temps

Résumé du poste

Meta is seeking PhD candidates through 3-year fixed term contracts to join our Fundamental AI Research (FAIR) Lab in Paris. We are exploring foundational models, Large Language Models, deep learning, computer vision, audio, NLP, and applied mathematics.

PhD students join the team under joint supervision by partnering academics and FAIR researchers. All work aims to be open science and open source, with rolling PhD admissions and early application encouraged. Learn more at ai.meta.com/research.

Qualifications

• Masters degree in a technical field such as Computer Science, Applied Mathematics, or equivalent practical experience
• Knowledge in Machine Learning
• Experience programming in at least one language (e.g., Python, C++)
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• Experience with large-scale distributed training or inference systems
• Familiarity with modern Deep Learning frameworks (e.g., PyTorch, JAX)
• Research and software engineering experience demonstrated via an internship, work experience, publications, coding competitions, or open-source contributions
• Experience building systems based on machine learning, deep learning, or generative AI methods

Connaissances

Machine Learning

Python

C++

Distributed Training

Deep Learning Frameworks

Research Experience

Open Source Contributions

Generative AI

Formation

Masters degree in a technical field such as Computer Science, Applied Mathematics, or equivalent practical experience

Description du poste

Meta is seeking PhD candidates through 3-year fixed term contracts to join our Fundamental AI Research (FAIR) Lab in Paris. We are exploring foundational models, Large Language Models, deep learning, computer vision, audio, NLP, and applied mathematics.

PhD students join the team under joint supervision by partnering academics and FAIR researchers. All work aims to be open science and open source, with rolling PhD admissions and early application encouraged. Learn more at ai.meta.com/research.