Summary Posted: Oct 19, 2023 Weekly Hours: 40 Role Number: 200509001 Our team is looking for you to help make iOS more intelligent, proactive and personal. We work at the core of the iOS experience, using privacy preserving on-device intelligence to drive new experiences that touches the lives of millions of Apple customers every day.
We are responsible for personalizing core system experiences, such as helping you manage notifications, get the most relevant widgets in smart stacks, as well as predicting what apps you will launch next. We believe this is just the start of making iOS more intelligent and personal. In our team you will be leveraging your expertise in machine learning to create experiences that surprise and delight our customers every day! Key Qualifications Key Qualifications 5+ Years of proven experience building machine learning systems Comprehensive understanding of machine learning algorithms, deep learning architectures, supervised, unsupervised and reinforcement learning modeling techniques, and their performance attributes Experience working with large scale and real world datasets for classification, regression, ranking, or recommendation problems Proficiency with machine learning libraries such as TensorFlow, Scikit-learn, PyTorch, or similar frameworks Strong foundation in Computer Science fundamentals and Software engineering best practices Experience in resource constrained computing (embedded systems or mobile development) Description Description You will work closely with other talented engineers on our team and cross functional partners to design, implement and scale machine learning solutions to deliver new experiences across iOS and other platforms within Apple!
As we build the future of iOS, you will be responsible for driving the development of the machine learning models to power them. You will provide technical leadership across a wide variety of products and features, we will look to you to create innovative data and machine learning solutions. The work requires delivering high quality features while adhering to device power and performance constraints.
We are passionate about user experience and privacy. Our mission is to craft user experiences which leverage the power of machine learning and on-device intelligence to preserve our customers privacy. You will be a key addition to the team helping to build state-of-the art intelligence for millions of customers. Education & Experience Education & Experience M.S. or PhD in Machine Learning, Computer Science or related field. Additional Requirements Additional Requirements Pay & Benefits 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 $138,900 and $256,500, 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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