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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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BS/MS in Computer Science, Computer Engineering, Data Science, Machine Learning or related major. Athena Platform Services (APS) is looking for a talented Software Data Engineer to play a meaningful role in building data services and platforms that run machine learning analytics to prevent fraud, waste and abuse across Apple.
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MACHINE LEARNING AND AI Machine learning and AI continue to grow in importance for virtually every Apple product and service, so your contributions in these fields can make an impact on many groups here.
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M.S. or PhD in Electrical Engineering, Computer Science, or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning or comparable professional experience; or equivalent experience.
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An Advance Degree in computer science, engineering or similar quantitative field with a focus on machine learning. The ML Scientist will work on solving real world business problems through machine learning and computer vision.
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In Apple’s Machine Learning Platform team we have built the platform that Apple uses for developing machine learning, artificial intelligence, and computer vision applications.
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The Intelligent System Experience Special Projects team explores and prototypes new, novel, and paradigm shifting ideas in system experience, computer vision, machine learning and natural language processing with emphasis on motivating future Apple products and features.
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AS A SENIOR RESEARCH MANAGER, YOU WILL:- Lead teams of machine learning and research engineers to define and deliver responsible machine learning technologies- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of our AI-driven platform and features.
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PhD in Computer Science or Computer Engineering with focus on Computer Architecture or Machine Learning preferred. + Knowledge of and experience with machine learning literature, model selection, tuning, and explain-ability.
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As a member of the team, you will work together with other researchers to codevelop machine learning and signal processing technologies for speech and hearing health, including noise reduction, source separation, beamforming, dereverberation, hearing loss compensation, and sound classification.
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Provide recommendations and influence the roadmap for future Apple CPUs used in iPhone, iPad and Mac systems. Apple is an equal opportunity employer that is committed to inclusion and diversity.
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The HID Algorithms team is an eclectic group with backgrounds in computer science, signal processing, machine learning, control theory, human factors, and more. B.S. or M.S. in EE, CS, ME, mathematics, physics, or another engineering or technical fieldWe would appreciate additional experience with:Exposure to AI/ML projects such as working with ML data engineering or algorithms teamsExperience building scalable ML systems spanning multiple teams or organizationsExperience using large scale distributed cloud compute and data management systems.
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MS, PhD or equivalent experience in Computer Science, Electrical Engineering or related field with focus on machine learning. You must have a “make this happen” attitude and willingness to also work hands-on in building machine learning tools, testing, data collection, running experiments as well as work with pioneering computer vision, speech and natural language understanding processing algorithms.
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Experience with machine learning for speech or audio applications. MS/PhD in Computer Science or Electrical Engineering. Working knowledge of deep learning toolkits (TensorFlow, PyTorch, etc.
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Are you interested in making an extensive and impactful contribution to Machine Learning at Apple? B.S. or M.S in Computer Science or a related field (mathematics, physics or computer engineering); or equivalent experience.
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machine learning computer engineering jobs Company: Apple
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