Intern: Efficient Foundation Models for LLM & Vision

Meta; Menlo Park (CA); Sur place; USD 60 000 - 80 000; Plein temps

Résumé du poste

Meta seeks a Research Scientist Intern focused on Foundation Model Optimization in Menlo Park, CA. The role emphasizes developing efficient LLMs and vision models, advancing model compression, and enabling deployment on mobile and AR/VR hardware.

You will collaborate with cross-disciplinary teams to explore personalization, tool usage, and omni-modal approaches. The position targets PhD candidates in AI or related fields, with a strong emphasis on research publication, state-of-the-art model

Qualifications

• Must be currently pursuing a PhD in AI or a related field.
• Strong foundation in AI/ML theory and research.
• Experience with publishing research in reputable venues is a plus.

Responsabilités

• Perform LLM and vision foundation model research, contributing to publications in top CV/NLP/ML conferences.
• Develop model optimization algorithms and infrastructure for resource-constrained deployment (mobile, AR/VR/MR devices).
• Collaborate with cross-disciplinary research and engineering teams.

Formation

PhD in Artificial Intelligence or related field

Description du poste

Meta seeks a Research Scientist Intern focused on Foundation Model Optimization in Menlo Park, CA. The role emphasizes developing efficient LLMs and vision models, advancing model compression, and enabling deployment on mobile and AR/VR hardware.

You will collaborate with cross-disciplinary teams to explore personalization, tool usage, and omni-modal approaches. The position targets PhD candidates in AI or related fields, with a strong emphasis on research publication, state-of-the-art model