At Apple individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each others 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 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 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 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 the development of cutting-edge multimodal fusion algorithms and taking ideas from concept t shippingnDriving cross-functional collaboration to understand algorithmic constraints dependencies and technical trade-offsnPartnering with engineers and designers to architect proof-of-concepts and prototype novel hardware for innovative applicationsnLeading technical discussions and preparing presentations papers and talks to communicate your inventions and establish thought leadershipnEstablishing coding standards best practices and technical strategies for your team
B.S and 3 years of experience in software engineering deep learning sensor fusion or related in deep learning frameworks such as PyTorchnProficiency in Python development using best coding practices
Ph.D. or M.S. with 3 years of industry experience in deep learning or related math skills including linear algebra computational science and optimizationnCreativity and curiosity for solving highly complex problemsnExcellent communication and collaboration skillsnHands-on experience of working with sensors and hardwarenAn interest in incubating ideas and taking them to finishnExperience shipping algorithms or publishing in top tier AIML conferences
Required Experience:
IC
At Apple individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each others ideas fueled by diverse perspectives and a belief we can transform lives. Our CVML team solves complex challenges at the intersection of percept...
At Apple individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each others 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 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 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 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 the development of cutting-edge multimodal fusion algorithms and taking ideas from concept t shippingnDriving cross-functional collaboration to understand algorithmic constraints dependencies and technical trade-offsnPartnering with engineers and designers to architect proof-of-concepts and prototype novel hardware for innovative applicationsnLeading technical discussions and preparing presentations papers and talks to communicate your inventions and establish thought leadershipnEstablishing coding standards best practices and technical strategies for your team
B.S and 3 years of experience in software engineering deep learning sensor fusion or related in deep learning frameworks such as PyTorchnProficiency in Python development using best coding practices
Ph.D. or M.S. with 3 years of industry experience in deep learning or related math skills including linear algebra computational science and optimizationnCreativity and curiosity for solving highly complex problemsnExcellent communication and collaboration skillsnHands-on experience of working with sensors and hardwarenAn interest in incubating ideas and taking them to finishnExperience shipping algorithms or publishing in top tier AIML conferences
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar
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