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Apple
California, United States
 
(on-site)
Posted
24 days ago
Apple 
California, United States
 
(on-site)
Job Function
IT/Software Development
 Senior Machine Learning Engineer - System Experience Personalization 
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
 Senior Machine Learning Engineer - System Experience Personalization 
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionYou will 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 cross 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.
Minimum Qualifications
- 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
 
Preferred Qualifications
- Experience in resource constrained computing (embedded systems or mobile development)
 - Strong foundation in Computer Science fundamentals and Software engineering best practices
 - Proficiency with machine learning libraries such as TensorFlow, Scikit-learn, PyTorch, or similar frameworks
 - Experience working with large scale and real world datasets for classification, regression, ranking, or recommendation problems
 
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 $181,100 and $272,100, 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 .
Job ID: 80602247

Apple
Cupertino
,
California
,
United States
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
Every new product we invent, service we ...
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