Currently tracking 4 active AI roles, up 33% versus the prior 4 weeks. Primary focus: Post-train · Research. Salary range $130k–$350k (avg $229k).
Hume AI currently has 4 active AI-related roles in our index. The most common open titles are: AI Researcher, Open Role, Senior Platform Engineer, Senior/Staff AI Research Engineer. Most positions are in Research and Engineering.
Hume AI's active AI hiring is concentrated in: post-training (75%), serving infrastructure (25%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Hume AI is hiring AI talent in: United States (4 roles).
Job postings at Hume AI most frequently reference: model serving, inference infra, audio speech, fine tuning, rl post training.
| Title | Stage | AI score |
|---|---|---|
| Senior/Staff AI Research Engineer 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. | Post-trainServe | 9 |
| Senior Platform Engineer 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. | Serve | 7 |
| Front-End Engineer Front-End Engineer to build developer platform and commercial applications for emotion understanding AI, making AI solutions accessible through no-code tools. | — | 5 |