
AIML - Applied ML Research Scientist - Accessibility, Human Centered Machine Intelligence
Seattle, WAFull-timeSeen 3w agoSeen in employer's feed 2 days ago
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Job overview
Apple seeks an Applied Machine Learning Research Scientist for its Accessibility efforts on the Human-Centered Machine Intelligence team. The team develops human-centered machine learning and interactive technologies, addressing challenges such as equitable speech access, visual understanding, and sign language technology. The role focuses on accessibility research and collaboration to advance intelligent interactive technologies.
Skills & qualifications
Skills
Qualifications
Full job description
Weekly Hours: 40
Role Number: 200687240-3337
Summary
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 challenges, collaborate with partner teams to ship products, and shape the field of human-centered AIML via external publication. Join us to advance ML research and intelligent interactive technologies that enable people of all abilities to use Apple technology.
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.
Minimum Qualifications
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PhD in Machine Learning, Computer Science, Human-Computer Interaction or related field.
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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.
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Publication and research record commensurate with seniority.
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Proven history of turning research contributions into tools, datasets or products, or strong potential to do so.
Preferred Qualifications
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Experience conducting research in accessibility or demonstrated commitment to accessibility.
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Experience doing data collection or data curation (e.g., developing data or annotation protocols).
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Experience with human-centered evaluation methods (e.g., developing user study protocols or running studies).
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Experience developing and shipping products that use machine learning.
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Strong writing and presentation skills.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
How this job compares
Set against the 2,306 open Research Scientist jobs on Olive Jobs, counted October 30, 2026.
- Pay
- This postingNot listed
- Washington median$167–249K/yr114 salary ranges
- US median$34–48/hr45 hourly ranges
- Openings
- Olive Jobs lists 171 open Research Scientist jobs in Washington and 2,306 across the US. 3% of them nationwide are listed as remote or flexible.
- Experience
- Research Scientist postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 2 to 6 years (1,277 postings).
- Education
- This posting asks for a doctorate or professional degree; 832 of the 2,306 open Research Scientist jobs (36%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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