AI Researcher, Foundation Models

Join Meta AI as an AI Researcher focused on advancing the state-of-the-art in Foundation Models. You will be at the forefront of developing novel architectures, training methodologies, and applications for large-scale AI models. This role involves pushing the boundaries of what's possible in areas like large language models (LLMs), diffusion models, and multi-modal AI. **Responsibilities:** * Conduct cutting-edge research in foundation models, contributing to publications and open-source projects. * Design, implement, and experiment with new AI architectures and algorithms. * Collaborate with a world-class team of researchers and engineers to build and scale foundational AI systems. * Analyze and interpret experimental results, drawing insights to guide future research directions. * Explore innovative applications of foundation models across various domains. **Minimum Qualifications:** * PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, or equivalent research experience. * Proven track record of research contributions, demonstrated through publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR). * Strong theoretical understanding and practical experience in deep learning and modern ML techniques. * Proficiency in Python and deep learning frameworks (PyTorch preferred). **Preferred Qualifications:** * Experience with training and evaluating large-scale models. * Expertise in specific areas such as LLMs, natural language processing, computer vision, or reinforcement learning. * Experience with distributed training and high-performance computing. Meta AI offers a stimulating research environment, competitive compensation, and the opportunity to impact billions of users.