AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI
Meta • Sunnyvale, CA • Posted July 15, 2026
Position Overview
**Summary:**
From making valuable connections between people and businesses to building premium services that deliver high-value experiences, the Monetization organization at Meta empowers people and businesses to succeed in the global economy. As Meta focuses on building the next evolution of social experiences, the Monetization team plays a crucial role in shaping the communication pathways and financial tools that all sized businesses need to thrive in the new digital economic environment. As a Machine Learning Research Scientist on the Monetization team at Meta, you can help build ML/AI technologies that can effectively connect users with businesses You’ll help develop solutions that power next-generation, large-scale platforms and AI innovations to power the Ads-ranking for Meta-scale across all the Meta surfaces.
**Required Skills:**
AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI Responsibilities:
1. Develop highly scalable classifiers ...
From making valuable connections between people and businesses to building premium services that deliver high-value experiences, the Monetization organization at Meta empowers people and businesses to succeed in the global economy. As Meta focuses on building the next evolution of social experiences, the Monetization team plays a crucial role in shaping the communication pathways and financial tools that all sized businesses need to thrive in the new digital economic environment. As a Machine Learning Research Scientist on the Monetization team at Meta, you can help build ML/AI technologies that can effectively connect users with businesses You’ll help develop solutions that power next-generation, large-scale platforms and AI innovations to power the Ads-ranking for Meta-scale across all the Meta surfaces.
**Required Skills:**
AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI Responsibilities:
1. Develop highly scalable classifiers ...