Human-Centered AI Researcher

The Apple Design Group is seeking a Human Factors Design Researcher to support development of hardware, software, algorithms, packaging and retail experiences. This is an active role where collaboration with an immense number of partners across the company is necessary.

Description

We are looking for a Human-Centered AI Researcher to join our interdisciplinary team of design researchers supporting hardware, software, and intelligence products. This role requires someone with deep HCI or social science foundations, applied technical understanding of AI systems to consumer products, and experience evaluating and prototyping emerging interaction patterns-especially those involving LLMs, multimodal interfaces, and dynamic UIs.

We're looking for a mixed methods researcher, particularly with quantitative methodological skills, who can pose critical questions about key human-AI concepts, initiate generative research or design experiments to test explorations, and translate insights to inspire new design directions.

You will partner closely with designers, engineers, and producers/program managers to bring human insights into the development of devices and services used by millions of people worldwide. This role is particularly suited for someone excited by AI-native UX, speculative software prototyping, and shaping the future of human-AI interaction

","responsibilities":" Design and conduct generative and evaluative research across hardware and software experiences, particularly leveraging AI technologies

Assess and shape AI system behaviors through human-centered evaluation frameworks

Collaborate with design, engineering, and our own research team to prototype and iterate on AI-driven interfaces and emerging interaction paradigms.

Design and analyze surveys and mixed-methods studies; apply expertise in experimental design, psychometrics, and statistics

Make sense of AI behavior through research and translate these insights into actionable recommendations for partner teams

Create new measures and metrics that illuminate how people engage with AI, such as trust calibration and cognitive offloading.