Machine Learning Research Engineer, Camera Software

Apple Inc.
Cambridge, UK
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Computer Vision C++ (Programming Language) Computer Graphics Python (Programming Language) Machine Learning Objective-C (Programming Language) Object-Oriented Software Development Pytorch Generative AI Information Technology Software Coding

Requirements

  • Experience researching, developing, and implementing image processing and machine learning algorithms
  • Experience training and working with generative models
  • Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch
  • Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer graphics, * PhD in Computer Science or a related field (mathematics or physics), with a focus on or related work in machine learning, computer vision, or imaging
  • Good understanding of in-camera processing
  • Strong mathematical and statistical analysis background
  • Familiarity with object-oriented programming languages such as C++ or Objective C
  • Ability to work with cross-functional teams
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills

About the company

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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