Job description

The Human-Centered Machine Intelligence (HCMI) group advances ML modeling and interactive technologies grounded in human-centered research. We are a close-knit team of research scientists and engineers working closely with product and platform teams across Apple. The Accessibility team within HCMI specifically focuses on core ML technologies that address grand challenges in accessibility, including equitable speech access for people with communication disabilities, visual understanding for people who are blind or low vision, sign language technology, and more. We are especially interested in researchers who want to bring expertise in one or more of the following areas to these accessibility challenges: multimodal reasoning, agentic systems and multi-turn interaction, contextual understanding, privacy-preserving ML, and synthetic data and evaluation methodologies. PhD in Machine Learning, Computer Science, Human-Computer Interaction or related field. Experienced researcher, with research depth in one or more of: multimodal modeling, agentic systems and tool use, computer vision, speech, or foundation model post-training and evaluation. Publication and research record commensurate with seniority. Proven history of turning research contributions into tools, datasets or products, or strong potential to do so. Experience conducting research in accessibility or demonstrated commitment to accessibility. Experience doing data collection or data curation (e.g., developing data or annotation protocols). Experience with human-centered evaluation methods (e.g., developing user study protocols or running studies). Experience developing and shipping products that use machine learning. Strong writing and presentation skills.

Requirements

Must-haves

PhD in Machine Learning, Computer Science, Human-Computer Interaction or related field.
Experienced researcher, with research depth in one or more of: multimodal modeling, agentic systems and tool use, computer vision, speech, or foundation model post-training and evaluation.
Publication and research record commensurate with seniority.
Proven history of turning research contributions into tools, datasets or products, or strong potential to do so.
Experience conducting research in accessibility or demonstrated commitment to accessibility.
Experience doing data collection or data curation (e.g., developing data or annotation protocols).
Experience with human-centered evaluation methods (e.g., developing user study protocols or running studies).
Experience developing and shipping products that use machine learning.
Strong writing and presentation skills.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

mlaccessibilitymachine learning

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

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