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Apple Sr Computer Vision & Machine Learning Engineer Creativity Apps United States, California, Cupertino 699481307
18.11.2024
Minimum Qualifications
- MS or PhD in 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.
- 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 high level languages like Python and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow.
- 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.
Preferred Qualifications
- 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.
- Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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