Summary
Posted: Nov 13, 2024
Weekly Hours: 40
Role Number:200575978
Data Engineers think differently. We value engineering difficulty and partnership, unit testing and data quality, standard processes and pragmatism, all in equal parts. Data engineers understand that driving meaningful impact is more than enabling our own work; true impact comes from helping others to unlock their full potential. We measure our success in the accomplishment and enablement of others. The vision of AIML Data Engineering is to measure and improve products while upholding our promise of privacy to our customers. We do this by building optimized and robust engineering systems with rich business context through deep collaboration with data scientists, ML engineers, and software engineers, all while staying true to our belief that privacy is a fundamental human right.
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Description
In this role, you will build privacy preserving data systems that live on both server and device with well defined data models for both large, distributed systems as well as smaller enclaves on Apple devices. Your work will power ML models, analytic dashboards, and feedback systems and will enable Apple to improve its user experiences while not sacrificing customer privacy. You will define schemas, privacy policies, aggregation granularity, system scheduler, retention rules, server pipeline processes, and redaction strategies. You will work across the breadth of Apple's OSs, running on-device data processing, as well as at large scale in our data centers using modern data processing technologies. Your mission will be continual improvement of products via measurement and data; your tools will be your years of data engineering expertise and your fanaticism for protecting our user's privacy; your scope will be the entirety of the Apple Intelligence ecosystem, both client and server.
Minimum Qualifications
- 5+ years in a data engineering role
- 4+ years of coding in Python, Java, Scala, Swift, or other mainstream programming languages
- 4+ data modeling experience in analytics or ML
- Proven experience of leading at least one major multi-functional data initiative
Preferred Qualifications
- Real world experience designing both client and server code for data pipelines
- Designing instrumentation and logging schema
- Privacy preserving methodologies such as differential privacy
- Expertise with expressing complex logic in both SQL and programming languages
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 $166,600 and $296,300, 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.
More
- 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.