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Home›Jobs›Apple›Vision Scientist
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

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Apple

Vision Scientist

Apple • Cupertino, California, United States

Posted 1 month ago🏛️ On-SiteMid-LevelResearch scientist📍 Cupertino
Apply Now →

Skills & Technologies

Image processingNeuroscienceOptics

Job Description

The Apple Vision Science team is looking for an enthusiastic vision scientist to support the development and advancement of cutting-edge imaging and display solutions, applications, and technologies for current and future Apple products. The team features a highly collaborative and hands-on environment that fosters scientific and engineering excellence, creativity, and innovation in the interdisciplinary areas of vision science, image processing, color science, neuroscience, and optics. This position focuses on developing vision models/metrics and carrying out advanced psychophysical experiments to support the sophisticated imaging and display technologies in the Apple ecosystem. - Develop models/metrics to quantify user experience - Compare and optimize algorithms for the best possible user experience - Design and conduct robust studies of user experience, human vision, and image quality - Guide feature and spec definition for future products based on aforementioned metrics

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