AI Researcher, Generative Models

Meta AI is seeking passionate AI Researchers to push the boundaries of generative modeling. You will contribute to groundbreaking research in areas such as large language models (LLMs), diffusion models, and multimodal generation. This role involves developing novel algorithms, conducting rigorous experiments, publishing findings in top-tier conferences, and potentially contributing to open-source projects. Responsibilities: - Conduct fundamental research in generative AI, focusing on novel architectures and training techniques. - Design and implement experiments to evaluate new models and algorithms. - Collaborate with a world-class team of researchers and engineers. - Disseminate research through publications, presentations, and internal reports. Minimum Qualifications: - Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent research experience. - Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR). - Proficiency in Python and deep learning frameworks (e.g., PyTorch). Preferred Qualifications: - Experience with large-scale model training and distributed systems. - Expertise in specific areas of generative modeling (e.g., LLMs, GANs, VAEs, diffusion models). - Ability to lead research projects and mentor junior researchers.