What are the responsibilities and job description for the Computer Vision and Machine Learning Engineer, Creativity Apps position at Apple, Inc.?
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike. \\n\\nAs a Computer Vision & Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity!
The ideal candidate should have deep experience in computer vision and machine learning and care about long term sustainable software development. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.\n\n
MS Computer Science, Machine Learning or related field, and 2 years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies.\n\nKnowledge in theory and practice of computer vision, machine learning and deep learning techniques. \n\nExperience delivering products in Computer Vision, Computational Photography, Generative AI, Machine Learning, or related areas.\n\nHands-on experience with building, training, evaluating, and deploying transformer based vision models, Generative Adversarial Network based models, or related methods.\n\nStrong programming skills in Python and/or C and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow.\n\nAbility to solve everyday problems in innovative ways.\n\nAbility to communicate effectively and collaborate with partner teams.\n\nCommitted to encouraging an open and inclusive work environment.\n
PhD in Computer Science, Machine Learning or related field.\n\nExperience delivering high quality software at scale is a plus.\n\nFamiliarity with modern camera ISP and digital image processing algorithms and models is a plus.\n\nExperience optimizing models and algorithms that run efficiently on resource constrained platforms is a plus.\n\nStrong patent and publication record at top conferences is a plus.\n\nExperience with Core ML, Swift, and iOS/macOS machine learning development is a plus.\n\nKnowledge and keen interest in learning the art and science of photography.
The ideal candidate should have deep experience in computer vision and machine learning and care about long term sustainable software development. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.\n\n
MS Computer Science, Machine Learning or related field, and 2 years of significant industry experience delivering products using state-of-the-art computer vision and machine learning technologies.\n\nKnowledge in theory and practice of computer vision, machine learning and deep learning techniques. \n\nExperience delivering products in Computer Vision, Computational Photography, Generative AI, Machine Learning, or related areas.\n\nHands-on experience with building, training, evaluating, and deploying transformer based vision models, Generative Adversarial Network based models, or related methods.\n\nStrong programming skills in Python and/or C and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow.\n\nAbility to solve everyday problems in innovative ways.\n\nAbility to communicate effectively and collaborate with partner teams.\n\nCommitted to encouraging an open and inclusive work environment.\n
PhD in Computer Science, Machine Learning or related field.\n\nExperience delivering high quality software at scale is a plus.\n\nFamiliarity with modern camera ISP and digital image processing algorithms and models is a plus.\n\nExperience optimizing models and algorithms that run efficiently on resource constrained platforms is a plus.\n\nStrong patent and publication record at top conferences is a plus.\n\nExperience with Core ML, Swift, and iOS/macOS machine learning development is a plus.\n\nKnowledge and keen interest in learning the art and science of photography.