- Location
- Cupertino, California, United States · Onsite
- Compensation
- $184,700 - $324,800 USD annually
- Employment
- Full-time
- Experience level
- SENIOR (7–10 years exp)
- Specialization
- Machine Learning Engineer, Machine Learning, Apple
- Source
- Apple
Role Overview
Our team is looking for you to help make iOS more intelligent, proactive and personal. Our team is part of 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 your next Focus. In our team you will bring expertise in machine learning and software engineering to train and deploy models that surprise and delight our customers every day.
Responsibilities
You will work closely with talented Software and ML engineers on our team, and across Apple to train, deploy, and evaluate machine learned models that power 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 models and infrastructure that power intelligent system experiences. You will be responsible for providing technical leadership across a wide variety of products and features, proposing and executing innovative solutions, and improving our model training and evaluation pipelines in service of quality and future feature development. You will be a core participant in developing new models and architectures that result in 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. Come help build state-of-the art intelligence impacting over a billion users.
Requirements & Qualifications
Minimum Qualifications
7-10 years of experience: Shipping and evaluating at scale Training and deploying machine learned models Building great user experiences Working on embedded operating systems
Preferred Qualifications
BS, M.S. or PhD in Software Engineering, Computer Science, Machine Learning, or related field
Compensation & 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 $184,700 and $324,800, 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.
Application Instructions
Apply directly on Apple Jobs at Machine Learning Engineer - Notifications & Personalization.
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