Hume AI

This role focuses on building and scaling state-of-the-art speech-language models (SLMs) using novel training methods like reinforcement learning from human expression (RLHE). The work involves supporting distributed model training, inference, and benchmarking, as well as large-scale data processing, with a goal of optimizing AI for human well-being and emotional expression.