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With a data science fellowship or prior professional experience as a data scientist. Apple's dedication to privacy, the human-centric nature of our work, and the scale of our business present exciting challenges to traditional machine learning and data science methods.
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MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field. Experience in machine learning, deep learning, information retrieval, natural language processing or data mining.
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Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field. We are seeking a Senior Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies.
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The Worldwide Sales and Operations Advanced Analytics team is looking for an experienced Manager in the Data Science and Machine Learning space with a deep passion for analytical solutions that have direct and measurable impact to Apple and its customers.
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B.S with 5+ years experience or M.S. with 3+ years experience in Materials Science, Chemical Engineering, Physics, Mechanical Engineering, or related fields. Good understanding and skill for material characterizations, semiconductor packaging, component failure analysis, design for experiments, and data analysis.
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Experience in operating and deploying container orchestration systems like Kubernetes &/ YARN. - Utilize core computer science data structures, algorithms, and software tools in one of the languages - Python, Golang, Java or other JVM languages.
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The team is seeking a senior data scientist who will serve as a technical leader guiding the expansion of the team's data science capabilities, helping to set strategy and executing on a long term vision.
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7+ years experience as a data science practitioner. Master’s degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics or Physics (PhD preferred.
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We focus on Accessibility, Data Visualization, Educational Technologies, and User Interface Tools/Technologies. PhD in Machine Learning, Human Computer Interaction, Computer Science, or related field.
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Ph. D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or - Ph. D. in Math, Engineering, Economics, or hard science with data science fellowship; or - M.S. in related field with 5+ years of experience applying machine learning engineering to real-world business.
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The Data Science and Visualization (DataViz) team at Apple is currently seeking an enthusiastic team player to join our small, supportive, inclusive, and dynamic team as a Data Scientist and Visualization Specialist.
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This is a visible and important role at Apple and will have great impact on Sales Team. The individual in this role will be responsible for interpreting quantitative data and developing statistical models to forecast and monitor sales demand & supply for sales analytics team.
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Proficiency in data science, machine learning, and analytics, including statistical data analysis, A/B testing, prompt engineering and fine-tune foundational models for specific tasks.
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If you have a background in signal processing, data science, or machine learning, that's even better. We don’t want their sensitive data coming back to Apple or being exposed to third parties.
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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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data science jobs Company: Apple
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