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Senior Computer Vision and Machine Learning Engineer, Creativity Apps

Apple

Salary not specified
Nov 13, 2025
Cupertino, CA, US
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Apple's Creativity Apps team is looking to shape the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike.

Requirements

  • Extensive knowledge in theory and practice of computer vision, machine learning and deep learning techniques.
  • Experience delivering products in Computer Vision, Computational Photography, Generative AI, Machine Learning, or related areas.
  • Hands-on experience with building, training, evaluating, and deploying transformer based vision models, Generative Adversarial Network based models, or related methods.
  • Experience delivering high quality software at scale.
  • Strong programming skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow.
  • Familiarity with modern camera ISP and digital image processing algorithms and models is a plus.
  • Experience optimizing models and algorithms that run efficiently on resource constrained platforms is a plus.

Responsibilities

  • Build state-of-the-art machine learning models to power application features.
  • Collect model training data, design model architectures, and train custom models suited for application features.
  • Partner with cross-functional teams to design and implement end-to-end machine learning enabled features to power the next-generation tools for creators.
  • Drive application features from concept, model design, development and all the way to delivery.

Other

  • MS Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies.
  • Ability to solve everyday problems in innovative ways.
  • Ability to communicate effectively and collaborate with partner teams.
  • Committed to encouraging an open and inclusive work environment.
  • PhD in Computer Science, Machine Learning or related field.