Research Scientist, Large-Scale Learning job opportunity at Together AI.

PhD

San Francisco, California Amsterdam, North Holland London, England, Worldwide

San Francisco,..........Worldwide

As a #Research #Scientist in Large-Scale Learning, you will work on the methods for increasing the efficiency of training #foundation #models, in terms of both speed and resource efficiency. You will analyze the limitations of state-of-the art techniques for neural network training, as well as the unique performance challenges of Together’s training setups. Based on this analysis, you will propose and implement new approaches, targeting both algorithmic improvements and systems optimizations. After evaluating your ideas through experimentation, you will present your findings to the global scientific community at leading ML/ML Systems conferences and collaborate with your teammates to integrate those improvements into #Together’s platform. __ Define and drive the research agenda around efficiency and performance of foundation model training __ Study recent results from the broader #AI research community, analyzing their relevance to the team’s research directions and ongoing projects __ Conduct experiments to empirically validate your #hypotheses and compare the outcomes with relevant related work __ Share your findings both internally and externally (e.g., at top-tier conferences on ML and ML #Systems) __ Partner with #Machine Learning #Engineers to integrate advanced methods into Together’s Model Shaping platform