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.

Senior Platform Engineer at Hume AI, a startup focused on building AI optimized for human well-being, specifically in emotion understanding and empathic AI assistants. The role involves developing and maintaining backend services and cloud infrastructure to support foundational speech-language models, expression measurement, and generation. Key responsibilities include architecting systems, owning cloud infrastructure, and ensuring high availability, scalability, performance, and observability of SaaS products. Experience with cloud platforms, Kubernetes, Terraform, and backend development is required.

Front-End Engineer to build developer platform and commercial applications for emotion understanding AI, making AI solutions accessible through no-code tools.