AI Research Scientist, Generative Models

Meta AI is looking for talented AI Research Scientists to push the boundaries of generative models. You will work on foundational research and develop novel techniques in areas such as image generation, text-to-image synthesis, and creative AI. This role involves conducting rigorous scientific research, publishing in top-tier conferences, and collaborating with engineering teams to translate research breakthroughs into impactful technologies. **Responsibilities:** - Conduct cutting-edge research in generative AI, exploring new architectures, algorithms, and applications. - Design and implement experiments to validate research hypotheses. - Analyze and interpret complex experimental results. - Publish findings in leading AI conferences and journals. - Collaborate with other researchers and engineers to advance the field of generative AI. - Contribute to the development of open-source AI tools and models. **Minimum Qualifications:** - PhD in Computer Science, Machine Learning, or a related field, or equivalent research experience. - Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR). - Deep understanding of deep learning principles and generative models (e.g., GANs, VAEs, Diffusion Models). - Proficiency in Python and deep learning frameworks (PyTorch preferred). **Preferred Qualifications:** - Experience with large-scale model training and evaluation. - Expertise in computer vision or natural language processing. - Ability to work independently and lead research projects.