Machine Learning Engineer: Multimodal Sensor Fusion

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Machine Learning Engineer: Multimodal Sensor Fusion Sunnyvale, United States of America At Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives. Our CVML team solves complex challenges at the intersection of perception, intelligence, and real-time processing. We seek an experienced engineer with demonstrated expertise in applying deep learning to non-vision signals such as audio, motion, and sensor data to shape next-generation products impacting millions daily. Ready to make an impact? We seek a Machine Learning Engineer to join our team in designing and implementing advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in translating cutting-edge research into production-ready solutions that delight users at scale. In this role, you will collaborate closely with hardware, software and user-experience teams to develop world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments. Your work will span the full spectrum from evaluating breakthrough research to solving complex real-world problems, architecting model efficiency strategies for on-device inference, and ensuring algorithms perform flawlessly in production at scale. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing, while establishing best practices and technical direction for your team. Leading

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