Overview
USD 139,500.00 - 258,100.00 per year
Full Time
Skills
Video Engineering
Backbone.js
IOS Development
OS X
MLS
Data Storage
Innovation
ARM
Optimization
Systems Design
Data Analysis
Fluency
Java
Apache Spark
Artificial Intelligence
Machine Learning (ML)
Video
Computer Science
Payments
Job Details
The Video engineering server team is looking for experienced software engineers to build highly scalable, low latency backend services and data systems for the Apple TV app. This service platform is the backbone of the Apple TV app where it is supported, including iOS, tvOS, macOS, visionOS, Roku, Fire TV, and Samsung TV. We handle millions of requests per day from millions of end-users around the world to discover and consume Apple TV+ Originals, Live Sports broadcasts for MLS and MLB leagues, and the vast catalog of content from Apple partners. This is the perfect opportunity for someone who wants to work with highly talented engineers on backend service platforms, data ingestion pipelines, data storage and retrieval systems. If you are interested in the Video domain and is passionate about service reliability and latency optimization, this is the place to be. We offer an environment where you are an integral part of an innovative, impactful team making a difference. Be ready to make something phenomenal when you come here. Multifaceted, inspiring people and innovative industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same passion for innovation also applies to our business practices - strengthening our dedication to leave the world better than we found it. Join the team to build what's next!
Description You'll be working on the video content discovery service platform that powers the Apple TV app. This team is responsible for building recommendation, personalization, catalog query, multi-arm bandit optimization systems. Design and implement services in Java. Perform data analysis using Spark. Candidate should have engineering experience in recommendation systems, personalization. Ideal candidate should also be comfortable with AI/ML concepts like embeddings, reinforcement learning, and integrating AI/ML models into a backend service.
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 You'll be working on the video content discovery service platform that powers the Apple TV app. This team is responsible for building recommendation, personalization, catalog query, multi-arm bandit optimization systems. Design and implement services in Java. Perform data analysis using Spark. Candidate should have engineering experience in recommendation systems, personalization. Ideal candidate should also be comfortable with AI/ML concepts like embeddings, reinforcement learning, and integrating AI/ML models into a backend service.
Minimum Qualifications
- 5+ years related work experience
- Fluent in Java
- Experienced in Spark
- Built backend services for consumer product
- Built highly scalable micro-services
Preferred Qualifications
- Knowledge of AI/ML embeddings is preferred
- Experience in video domain preferred
- BS, MS in Computer Science or related domains
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.