AI Research Scientist, Foundation Models

Meta AI is seeking exceptional Research Scientists to push the boundaries of artificial intelligence, particularly in the development and understanding of Foundation Models. You will contribute to novel research that will shape the future of AI, working alongside world-class researchers and engineers. This role involves developing new algorithms, conducting rigorous experiments, and publishing findings in top-tier conferences and journals. **Responsibilities:** - Conduct cutting-edge research in machine learning, deep learning, and AI, with a focus on large-scale foundation models. - Design and implement novel ML architectures and training methodologies. - Analyze and interpret experimental results to gain insights and drive research directions. - Collaborate with engineers to prototype and deploy research advancements. - Publish research findings in leading academic venues and contribute to the broader AI community. **Minimum Qualifications:** - PhD in Computer Science, AI, Machine Learning, or a related quantitative field, or equivalent research experience. - Proven track record of research publications in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL). - Strong theoretical understanding of machine learning and deep learning principles. - Proficiency in Python and ML frameworks (e.g., PyTorch). **Preferred Qualifications:** - Experience with large language models, computer vision models, or other foundation models. - Experience with large-scale data processing and distributed training. **Benefits:** Competitive salary, stock options, comprehensive health benefits, on-site amenities, parental leave, and a dynamic research environment fostering innovation.