Hume AI
Built from a decade of voice and emotion research. To build emotionally intelligent voice AI, we first had to define what “good” sounds like – not just acoustically, but perceptually and in real human conversations. That led us to build the research infrastructure behind expressive, trustworthy voice AI: scientifically grounded datasets, speech models, evaluation frameworks, and human preference pipelines. Today, we make that infrastructure available to frontier labs and AI-native companies building the next generation of voice. Whether you’re building foundation models, fine-tuning voice agents, or evaluating production systems, Hume provides the tools to measure, improve, and align voice AI the way people actually experience them.
Open Positions at Hume AI
4 open positions
Build backend services and ML infrastructure that integrate audio and AI models into scalable research and developer tools at Hume AI. This role partners closely with research scientists across model evaluation, inference, cloud infrastructure, and deployment.
Build and evolve backend services, APIs, and cloud infrastructure powering Hume AI’s empathic AI applications. This autonomous senior role focuses on architecture, reliability, observability, scalability, and low-latency production systems.
Hume AI is seeking an AI Researcher to develop advanced speech-language models using innovative training methods in New York City.
Build research and production systems for Hume AI’s state-of-the-art speech-language models, spanning distributed training, inference, benchmarking, and multimodal data processing. This New York City role is suited to engineers with deep Python/ML expertise and hands-on experience training or fine-tuning transformer models.