Overview
On Site
USD 170,700.00 - 300,200.00 per year
Full Time
Skills
Data processing
Machine Learning (ML)
Distributed computing
Data engineering
iOS development
Data mining
Data quality
Big data
Computer science
Data Science
Data
Innovation
IMPACT
Evaluation
Apache Spark
Apache Flink
Collaboration
Software development
Python
Java
Swift
Scala
Design
FOCUS
Payments
Job Details
Summary
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the AIML Data and ML Innovation organization is to improve products by using data as the voice of our customers. We are seeking a passionate and experienced Sr Software Data Infrastructure Engineer to work on data processing for Siri and Search. You will build a unified and groundbreaking data processing framework on device and server using Spark, and/or Flink. You will collaborate closely with other teams to transform raw data from device into useful datasets for Machine Learning.
Key Qualifications
Expertise in large-scale data processing, with a track record of working with Spark and/or Flink, and device data processing.Understanding of distributed computing principles and data engineering standard methodologies.Proven programming skills in Python, Java, iOS development and Swift (Scala is desired).A genuine passion for working with data and solving sophisticated problems at scale.Experience with Machine Learning or data mining is desired.
Description
We are looking for an Engineer who will work on building and implementing a robust data processing framework to streamline log data pipelines, using expertise in device data processing platform, Spark and/or Flink. In this collaborative role, you'll partner closely with the Siri, Search, and other teams to design solutions that transform raw data into datasets that drive innovation. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the framework's capabilities to new user scenarios and ground breaking machine learning applications. We're looking for someone who thrives on tackling data challenges at scale and stays abreast of the latest advancements in big data processing and distributed systems.
Education & Experience
PhD, MS or BS in Computer Science, Data Science, Engineering or a related field; or equivalent practical experience.
Pay & Benefits
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the AIML Data and ML Innovation organization is to improve products by using data as the voice of our customers. We are seeking a passionate and experienced Sr Software Data Infrastructure Engineer to work on data processing for Siri and Search. You will build a unified and groundbreaking data processing framework on device and server using Spark, and/or Flink. You will collaborate closely with other teams to transform raw data from device into useful datasets for Machine Learning.
Key Qualifications
Expertise in large-scale data processing, with a track record of working with Spark and/or Flink, and device data processing.Understanding of distributed computing principles and data engineering standard methodologies.Proven programming skills in Python, Java, iOS development and Swift (Scala is desired).A genuine passion for working with data and solving sophisticated problems at scale.Experience with Machine Learning or data mining is desired.
Description
We are looking for an Engineer who will work on building and implementing a robust data processing framework to streamline log data pipelines, using expertise in device data processing platform, Spark and/or Flink. In this collaborative role, you'll partner closely with the Siri, Search, and other teams to design solutions that transform raw data into datasets that drive innovation. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the framework's capabilities to new user scenarios and ground breaking machine learning applications. We're looking for someone who thrives on tackling data challenges at scale and stays abreast of the latest advancements in big data processing and distributed systems.
Education & Experience
PhD, MS or BS in Computer Science, Data Science, Engineering or a related field; or equivalent practical experience.
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 $170,700.00 and $300,200.00, 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.