AppliedResearcherII,AIFoundations

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, LLM, PhD focus on NLP, Masters with 5 years of industrial NLP research experience, Multiple publications on pre-training of large language models, Member of team that has trained a large language model from scratch, Publications in deep learning theory, Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, Behavioral Models, PhD focus on geometric deep learning, Multiple papers on graph and sequential data structures, Worked on scaling graph models to greater than 50m nodes, Experience with large scale deep learning based recommender systems, Experience with production real-time and streaming environments, Contributions to common open source frameworks, Proposed new methods for inference or representation learning on graphs or sequences, Worked datasets with 100m+ users, PhD focused on optimizing training of very large deep learning models, Multiple years of experience and/or publications on optimizing training of very large deep learning models