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Computer Vision/Machine Learning Algorithm Engineer

2 months ago

Sunnyvale, California, United States Apple Inc. Full time
Job Summary

We are seeking a highly skilled Computer Vision/Machine Learning Algorithm Engineer to join our team at Apple Inc. As a key member of our Video Computer Vision organization, you will play a crucial role in developing cutting-edge computer vision and machine learning algorithms for our next-generation products.

Key Responsibilities
  • Design and develop innovative computer vision and machine learning algorithms for Apple's products
  • Collaborate with cross-functional teams to integrate algorithms into our products
  • Develop and maintain high-quality, efficient, and well-tested code
  • Stay up-to-date with the latest advancements in computer vision and machine learning
  • Contribute to the development of new technologies and features for Apple's products
Requirements
  • Strong background in machine learning and deep learning with expertise in computer vision
  • Proficiency in writing clean and well-structured code in Python
  • Experience with modern deep learning models and development using ML frameworks such as TensorFlow and PyTorch
  • Excellent communication and collaboration skills
  • Creativity and curiosity for solving complex problems
  • Experience in biometrics, face tracking, gaze tracking, classical image processing, or computer vision is a plus
  • Familiarity with cloud technologies is a plus
What We Offer
  • Competitive base pay range: $143,100 - $264,200
  • Opportunity to become an Apple shareholder through discretionary employee stock programs
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses
  • Discretionary bonuses or commission payments
  • Relocation assistance
About Apple

Apple Inc. is an equal opportunity employer 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.