AIML - Senior Applied ML Research Scientist, Accessibility
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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. \\n\\nThe 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.
Develop new ML modeling approaches with the potential for both research and product impact.\\nAdvance the state of the art on Accessibility-related problems.\\nDesign and execute experiments to evaluate machine learning modeling approaches.\\nEvaluate ML-powered applications using human-centered methods. \\nPartner with product teams to bring research into features that reach users.\\nShare contributions through internal impact and external publication in top ML and HCI venues.
PhD in Machine Learning, Computer Science, Human-Computer Interaction or related field.\\nExperienced 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.\\nPublication and research record commensurate with seniority.\\nProven 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.\\nExperience doing data collection or data curation (e.g., developing data or annotation protocols).\\nExperience with human-centered evaluation methods (e.g., developing user study protocols or running studies).\\nExperience developing and shipping products that use machine learning.\\nStrong writing and presentation skills.
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