Computer Vision/Machine Learning Algorithm Engineer

4 days 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 contributor to the development of cutting-edge computer vision and machine learning algorithms.

Key Responsibilities
  • Design and develop innovative computer vision and machine learning algorithms for Apple's next-generation products.
  • Collaborate with cross-functional teams to integrate algorithms into product development pipelines.
  • Develop and maintain high-quality, efficient, and well-tested code using Python and other relevant programming languages.
  • Stay up-to-date with the latest advancements in computer vision and machine learning, and apply this knowledge to drive innovation in our products.
  • Work closely with data scientists and engineers to develop and deploy machine learning models using TensorFlow and PyTorch.
Requirements
  • Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • Minimum 3 years of experience in computer vision and machine learning, with a strong background in deep learning.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Strong proficiency in Python, C++, and other relevant programming languages.
  • Experience with cloud technologies, such as AWS or Google Cloud, is a plus.
What We Offer
  • Competitive salary range: $138,900 - $256,500.
  • Discretionary restricted stock unit awards and Employee Stock Purchase Plan (ESPP) eligibility.
  • Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and services.
  • Opportunities for professional growth and development, including reimbursement for certain educational expenses.
Apple's Commitment to Diversity and Inclusion

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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