Apple Inc.
Machine Learning Software Engineer - Biometrics
Apple Inc., Sunnyvale, California, United States, 94087
Machine Learning Software Engineer - Biometrics
Sunnyvale, California, United States | Machine Learning and AI Description
As a Software Engineer at Apple, you will be at the forefront of developing and integrating advanced computer vision technologies for next-generation products. Your role will involve designing, implementing, and optimizing efficient, real-time solutions that run on edge devices, ensuring they meet Apple’s high standards for performance and reliability. You’ll work across the entire development cycle—from prototyping innovative ideas to delivering production-ready systems. Besides domain expertise and technical knowledge, the ideal candidate will possess self-motivation, curiosity, and initiative. The candidate should be a lifelong learner who passionately seeks to improve themselves and the quality of their work. Minimum Qualifications
BS degree with a minimum of 3 years relevant industry experience. Proficiency in writing clean and well-structured code in C++. Experience with Python programming. Knowledge of software engineering processes and lifecycle, including design, implementation, testing, and CI/CD. Preferred Qualifications
Excellent communication and collaboration skills. Experience in classical image processing or classical/DL computer vision is a plus. Familiarity with cloud technologies is a plus. Apple offers a competitive total compensation package, including base pay ranging from $147,400 to $272,100, depending on skills, qualifications, experience, and location. Employees also have opportunities for stock programs, bonuses, and benefits such as medical and dental coverage, retirement plans, educational reimbursement, and discounts. Note: Apple’s benefit, compensation, and stock programs are subject to eligibility and other terms. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights.
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Sunnyvale, California, United States | Machine Learning and AI Description
As a Software Engineer at Apple, you will be at the forefront of developing and integrating advanced computer vision technologies for next-generation products. Your role will involve designing, implementing, and optimizing efficient, real-time solutions that run on edge devices, ensuring they meet Apple’s high standards for performance and reliability. You’ll work across the entire development cycle—from prototyping innovative ideas to delivering production-ready systems. Besides domain expertise and technical knowledge, the ideal candidate will possess self-motivation, curiosity, and initiative. The candidate should be a lifelong learner who passionately seeks to improve themselves and the quality of their work. Minimum Qualifications
BS degree with a minimum of 3 years relevant industry experience. Proficiency in writing clean and well-structured code in C++. Experience with Python programming. Knowledge of software engineering processes and lifecycle, including design, implementation, testing, and CI/CD. Preferred Qualifications
Excellent communication and collaboration skills. Experience in classical image processing or classical/DL computer vision is a plus. Familiarity with cloud technologies is a plus. Apple offers a competitive total compensation package, including base pay ranging from $147,400 to $272,100, depending on skills, qualifications, experience, and location. Employees also have opportunities for stock programs, bonuses, and benefits such as medical and dental coverage, retirement plans, educational reimbursement, and discounts. Note: Apple’s benefit, compensation, and stock programs are subject to eligibility and other terms. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights.
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