AIML - Sr Software Data Infrastructure Engineer - Data and ML Innovation at Apple
Cupertino, CA 95014
About the Job
SummaryPosted: Role Number:200570663Do you get excited by driving impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision of 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 Data Infrastructure Engineer to play a pivotal role in revolutionizing how we process and use substantial datasets as the heart of Siri, Search and Machine Learning
You will be instrumental in building a unified, groundbreaking data insights framework and data processing framework, powered by technologies such as Spark or Iceberg
You will collaborate closely with teams with varied strengths (i.e
Data Scientists and Analysts, other Engineering teams) to transform massive data into valuable, actionable datasets
You will also build metrics platform that fuel our innovative features and future machine learning area.DescriptionAs a Data Infrastructure Engineer, you will be at the forefront of designing and implementing a robust data processing framework to streamline log data pipelines, and a flexible data insights infrastructure, applying your expertise in Spark and Python
In this collaborative role, you'll partner closely with the Siri, Search, and other teams to design solutions that process data and build metrics platform, which drive innovation
Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the existing framework's capabilities to new user scenarios and innovative 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 on both device and server side.Minimum QualificationsDemonstrated expertise in large-scale data processing, with a strong background of working with Spark and Python or Scala.Understanding of distributed computing principles, data engineering and DevOps standard processes.Proven programming skills in Python and Scala.A genuine passion for working with data and solving complex problems at scale, in cloud platforms (AWS, GCP).Experience with machine learning data mining.B.S.degree in Computer Science or Data Science.Preferred QualificationsMetrics infrastructure experience, including metrics sharing, management, version control.PhD or MS in Computer Science.Pay & BenefitsAt 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 $175,800 and $312,200, 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
Learn more about your EEO rights as an applicant.
We are seeking a passionate and experienced Data Infrastructure Engineer to play a pivotal role in revolutionizing how we process and use substantial datasets as the heart of Siri, Search and Machine Learning
You will be instrumental in building a unified, groundbreaking data insights framework and data processing framework, powered by technologies such as Spark or Iceberg
You will collaborate closely with teams with varied strengths (i.e
Data Scientists and Analysts, other Engineering teams) to transform massive data into valuable, actionable datasets
You will also build metrics platform that fuel our innovative features and future machine learning area.DescriptionAs a Data Infrastructure Engineer, you will be at the forefront of designing and implementing a robust data processing framework to streamline log data pipelines, and a flexible data insights infrastructure, applying your expertise in Spark and Python
In this collaborative role, you'll partner closely with the Siri, Search, and other teams to design solutions that process data and build metrics platform, which drive innovation
Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the existing framework's capabilities to new user scenarios and innovative 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 on both device and server side.Minimum QualificationsDemonstrated expertise in large-scale data processing, with a strong background of working with Spark and Python or Scala.Understanding of distributed computing principles, data engineering and DevOps standard processes.Proven programming skills in Python and Scala.A genuine passion for working with data and solving complex problems at scale, in cloud platforms (AWS, GCP).Experience with machine learning data mining.B.S.degree in Computer Science or Data Science.Preferred QualificationsMetrics infrastructure experience, including metrics sharing, management, version control.PhD or MS in Computer Science.Pay & BenefitsAt 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 $175,800 and $312,200, 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
Learn more about your EEO rights as an applicant.
