Senior ML Engineer

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Our team is looking for you to help make iOS more intelligent, proactive and personal. Our team is part the core iOS experience, using privacy preserving on-device intelligence to drive new experiences that touch the lives of millions of Apple customers every day! We are responsible for personalizing core system experiences, such as helping you manage and summarize notifications, get the most relevant widgets in smart stacks, as well as predicting what apps you will launch next. This is just the start of making iOS more intelligent and personal. In our team you will bring expertise in software engineering to create experiences that surprise and delight our customers every day.
Work closely with talented Software and ML engineers on our team, and across Apple to design, architect and implement new experiences across iOS and all Apple platforms. 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. You will work closely with other talented engineers on our team and multi-functional partners to design, implement and scale machine learning solutions to deliver new experiences across iOS and other platforms within Apple. 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!
  • M.S. or PhD in Machine Learning, Computer Science or related field.
  • 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 standard methodologies
  • Experience in resource constrained computing (embedded systems or mobile development)
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 $143,100 and $264,200, 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 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. Learn more about your EEO rights as an applicant.

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