About this opportunity
Apple lists this AIML - Machine Learning Engineer, Batch processing team opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Summary
Summary Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.
Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup.
As part of this group, you will develop the systems we use to evaluate the quality of our AI models and products. You’ll help us leverage a combination of human and automated methods to accelerate robust iteration and development of new models and product features.
Description
Description We design and build infrastructures to support features that empowers billions of Apple users. As part of this group, you will develop the systems we use to evaluate the quality of our AI models and products. You’ll help us leverage a combination of human and automated methods to accelerate robust iteration and development of new models and product features. You will have opportunities to work cross functional with MLE, DS, Infra and others.
Minimum Qualifications
BS in a relevant field or equivalent experience
Strong coding skills
Strong background in computer science, algorithms, data structures and analytics.
Fast learner, have a voracious and intrinsic desire to learn and fill in missing skills.
Excellent interpersonal skills able to work independently as well as in a team.
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 $171,600 and $302,200, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant.
Apple accepts applications to this posting on an ongoing basis.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.