Member of Technical Staff - Post-Training
Ghost·San Francisco·Posted 15 October 2026
About the role
ABOUT GHOST Ghost is a personal AI hardware company. To realize the full benefit of what models will do for people, we believe an entirely new platform will be built around AI. Some devices will let your AI understand what is happening around you, others will enable you to get things done without navigating apps or menus. As these systems become more capable and more personal, it matters who owns them. We’re building a future where that intelligence belongs to you, with an ecosystem of devices and software that gives you greater control over your time, attention, and the things you want to accomplish. What you'll do - Post-train open models to power personal agents that run locally on Core. - Improve tool use, reasoning, and reliable execution across complex, multi-step tasks. - Build training datasets and feedback pipelines grounded in realistic agent workflows. - Develop supervised fine-tuning and reinforcement learning methods that translate model capability into useful product behavior. - Build evaluations that measure task completion, personalization, and when agents should act or ask for guidance. - Work closely with the agent and inference teams to improve…
This is a summary of the advert. The full description and the application are on Ghost's careers site.
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