AIML - Sr Data Engineer, Data and ML Innovation
Apply NowCompany: Apple
Location: Cupertino, CA 95014
Description:
Summary
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.
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.
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.
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.