Overview
On Site
USD 139,500.00 - 258,100.00 per year
Full Time
Skills
Artificial Intelligence
Media
iPhone
Music
Scalability
Large Language Models (LLMs)
Kubernetes
Testing
CPU
Build Tools
Productivity
Development Testing
Dashboard
Storage
Migration
Computer Science
Computer Engineering
Data Processing
Scala
Python
Scripting
Performance Tuning
Apache Spark
Apache Hadoop
Machine Learning (ML)
Workflow
Extract
Transform
Load
Data Quality
Optimization
Big Data
Payments
Job Details
Are you a passionate about building scalable, reliable, search platform at scale? Come join us and be part of the Apple Media Products incredible journey. Apple Media Search Platform team is looking for extraordinary search engineers to build the best music search experience across all Apple platforms. We are a key part of the Apple ecosystem, supporting millions of users and billions of transactions. We operate in hundreds of countries and dozens of languages. We strive to provide the best search experience for our customers. If you are passionate about providing the best search results when user ask to play music on iPhone, Apple TV, Apple Watch, HomePod, this is the right place to be! We obsess over search experience on Apple ecosystem and other ecosystems where Apple Music is supported.
Description As part of our team, you will enhance thousands of compute and big data pipelines to deliver greater scalability, reliability, and efficiency. By leveraging innovative approaches with machine learning and large language models, you will improve pipeline quality, optimize Spark and Kubernetes resource utilization, and create automation that accelerates developer agility.
Responsibilities
Minimum Qualifications
Preferred Qualifications
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 $139,500 and $258,100, 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 .
Description As part of our team, you will enhance thousands of compute and big data pipelines to deliver greater scalability, reliability, and efficiency. By leveraging innovative approaches with machine learning and large language models, you will improve pipeline quality, optimize Spark and Kubernetes resource utilization, and create automation that accelerates developer agility.
Responsibilities
- Develop automation and LLM-based agents to automatically increase testing coverage for data pipelines in a monorepo environment.
- Develop automation and LLM-based agents to optimize Spark job resource utilization, including both CPU and memory efficiency.
- Develop LLM-powered agents to automatically diagnose failures in large-scale data pipelines.
- Build tools and automation to accelerate engineer productivity across development, testing, and production deployment of new pipelines.
- Design and maintain dashboards to improve observability of pipeline execution and verification.
- Deliver cost-efficient solutions for storage and compute platform migrations through automation and advanced machine learning techniques.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
- 3+ years of experience with large-scale data processing and pipelines.
- Proficiency in Scala, Python, and scripting languages.
- Experience in and solid understanding of distributed systems, performance tuning, and resource optimization.
- Strong hands-on expertise with Apache Spark and the Hadoop ecosystem.
Preferred Qualifications
- Experience developing or applying machine learning techniques or LLM-based agentic workflows for data pipeline optimization and data quality improvements.
- Knowledge of cost optimization strategies for big data infrastructure.
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 $139,500 and $258,100, 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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.