Research Scientist, Computer Vision MGenAI

MGenAI is focused on making significant progress in AI-powered content generation for ads applications. In the past two years, generative AI has observed rapid advances, particularly in large language models and generative image models. Meta Monetization GenAI's mission is to advance the state of the art in applied generative AI technology and build products that will help businesses become more productive and efficient. The team is particularly focused on image and video ad creative generation.

Responsibilities

Conduct applied research to advance the science and technology of image/video/text generation for applications in ad creative generation and editing Work towards long-term research goals, while identifying intermediate milestones Contribute to productionization of GenAI technologies in ads domain applications Influence progress of relevant research communities by producing publications

Qualifications

Currently has, or is in the process of obtaining, a PhD degree in computer vision or machine learning. At least one publication as first author or co-author on NeurIPS, CVPR, ICML, ICLR, ICCV, or ECCV Experience in generative AI research (including PhD research) Experience in contributing to a team of applied research scientists and engineers in solving real world ML problems, in a role with emphasis on AI research Experience in developing and debugging in Python Experience in developing real-world applications using multimodal large language models Experience in developing diffusion models for image/video/text/multimodal generation with publications on this topic on NeurIPS, CVPR, ICML, ICLR, ICCV, or ECCV