Hume AI

AI Researcher at Hume AI focused on building state-of-the-art speech-language models (SLMs) using novel training methods like reinforcement learning from human expression (RLHE). The role involves distributed model training, inference, benchmarking, and large-scale data handling to optimize AI for human well-being and emotional expression.

Hume AI is a Series B startup focused on developing AI optimized for human well-being, specifically in speech-language models for voice generation and empathic AI assistants. They are building foundational models that understand and generate emotional expression in voice, aiming to be conversational and empathetic. The company also engages in scientific research and ethical guideline development for empathic 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.