AIML - Applied ML Research Scientist, Accessibility
Apple - Cupertino, United States of America
Posted Mar 31, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
AIML - Applied ML Research Scientist, Accessibility Cupertino, United States of America We are seeking an Applied Machine Learning Research Scientist to join our Accessibility efforts on the Human-Centered Machine Intelligence (HCMI) team within AIML at Apple. Research Scientists in HCMI tackle significant technical and human-centered research challenges, collaborate with partner teams across Apple to ship products, and shape the field of human-centered AIML via external publication and engagement. Join us to design, study, and build intelligent interactive technologies that enable people of all abilities to use Apple technology. The Human Centered Machine Intelligence (HCMI) group designs, studies, and builds interactive technologies that enable people to benefit from machine learning. We are a close-knit team of research scientists and engineers in a unique position to do research and work closely with product teams throughout Apple. Our work has resulted in numerous award-winning research publications and groundbreaking technologies impacting millions of people. The Accessibility team within HCMI specifically focuses on core ML technologies that address grand challenges in accessibility, including equitable speech access to people with disabilities, visual understanding for people who are blind or low vision, communication access for people who use sign language, and more. Developing new ML modeling approaches around vision, time-series, or multimodal ML. Advancing the state of the art on Accessibility-related problems. Designing and analyzing experiments to evaluate machine learning modeling approaches. Working with partner teams to integrate machine learning approaches into human-centered applications. Evaluating ML-powered applications using human-centered methods. Creating human-centered machine learning contributions to
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