Data Engineer - Camera Intelligence

Apple Inc.Cupertino, CA
41d

About The Position

Imagine the possibilities here. At Apple, new ideas swiftly transform into extraordinary products, services, and customer experiences. With passion and dedication, you can achieve remarkable things. Here, dynamic and hardworking individuals, coupled with inspiring and innovative technologies, are the norm. Our passion for innovation extends beyond our products to our practices, solidifying our commitment to leaving the world better than we found it. Join us in delivering the next groundbreaking Apple product. Are you passionate about tackling unsolved challenges? As a member of our dynamic group, you'll have the unique and rewarding opportunity to design upcoming products that will delight and inspire millions of Apple's customers daily. Are you passionate about building products that harness the power of artificial intelligence, machine learning, and computer vision? Do you have the expertise to apply cutting-edge knowledge to create innovative AI camera features for Apple's products, such as the iPhone or iPad? If you're an exceptional data engineer, the Camera Intelligence team is seeking you to join us in building our next generation of camera features.We are seeking a Data Engineer to join our team to leverage the potential of artificial intelligence in Apple's cameras. In this highly collaborative role, you will partner with data collection/annotation teams, ML researchers, and camera feature teams to integrate models, design data pipelines, and shape the data requirements for next-generation camera intelligence features. An ideal candidate should possess experience with modern machine learning workflows, a solid grasp of deep learning and the data requirements of modern network architectures.

Requirements

  • Deep understanding of concurrency, parallelism, and working with S3-like object storage systems
  • Experience with efficient data storage formats for ML workflows (LMDB, HDF5, Parquet, or similar)
  • Experience building ETL pipelines for image/video datasets and ML training workflows

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What This Job Offers

Job Type

Full-time

Industry

Computer and Electronic Product Manufacturing

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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