Handwriting Recognition Engineer, Frameworks

Cupertino, CA
  • Job Code
    200058717
Summary

Summary

Posted: May 9, 2019

Weekly Hours: 40

Role Number: 200058717

Are you passionate about building products that use pattern recognition and machine learning algorithms? Are you looking to apply your state-of-the-art knowledge to produce features like Scribble for watchOS or Searchable Handwriting for iOS? We are looking for an exceptional engineer to help develop our next generation of machine learning and handwriting recognition solutions

Be ready to make something great when you come here. Dynamic inspiring people and innovative industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same passion for innovation also applies to our business practices, strengthening our commitment to leave the world better than we found it. You should join the Apple Core Recognition Team if you want to help deliver the next amazing Apple product

Key Qualifications

  • Experience developing handwriting or gesture recognition systems
  • Understanding of deep learning algorithms and modern machine learning approaches
  • Strong software development and debugging skills
  • Familiarity with big data development

Description

Handwriting recognition is far from a solved problem. We are in search of an engineer with exceptional experience developing modern handwriting solutions and passionate about defining and developing the future of handwriting systems

On the Core Recognition team, you will work on groundbreaking machine learning research and handwriting recognition challenges while contributing to the evolution and future of our user-facing products

Expertise and low-level knowledge of offline and online handwriting analysis, neural networks and other statistical pattern recognition systems is necessary to be successful in this role. Experience handling large datasets and building user-facing applications is considered a plus

Education & Experience

Ph.D. or MA in Computer Science, Computer Engineering, or a closely related field

Additional Requirements

  • Experience with iOS and macOS development in Objective-C preferred
  • Experience with LLVM, Xcode or gnu make is a plus


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Handwriting Recognition Engineer, Frameworks

Apple, Inc.
Cupertino, CA

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