Karkidi
ISE, Special Projects - Sr. Machine Learning Engineer
Karkidi, Cupertino, California, United States, 95014
Our team is seeking extraordinary machine learning engineers who are passionate about creating intelligent and natural system experiences. This role will encompass all stages of incubation including: ideation, development, and experimentation. Work includes designing high-performance machine learning models to enable new system experiences in concert with designers, software/hardware engineers, and applied R&D teams.Key Qualifications
Strong and proven research and software development skillsDeep understanding of machine learning conceptsExperience delivering consumer-facing solutions to new industry problems at scaleProficiency in C, C++ or PythonExperience with and knowledge of a wide variety of machine learning libraries/packagesCreative, collaborative, and product-focusedExcellent communication skillsEducation & Experience
Masters or PhD in Machine Learning, Natural Language Processing, Computer Vision, Computer Science or related field with 4+ years experience.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 $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Strong and proven research and software development skillsDeep understanding of machine learning conceptsExperience delivering consumer-facing solutions to new industry problems at scaleProficiency in C, C++ or PythonExperience with and knowledge of a wide variety of machine learning libraries/packagesCreative, collaborative, and product-focusedExcellent communication skillsEducation & Experience
Masters or PhD in Machine Learning, Natural Language Processing, Computer Vision, Computer Science or related field with 4+ years experience.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 $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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