Flag job

Report

Apple Music - Software Engineer (Personalized Streaming Music Services)

Salary

$175.8k - $312.2k

Min Experience

5 years

Location

Cupertino, California, United States

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

The Music ML team at Apple Services Engineering is responsible for personalization and recommendations in Apple Music. We are looking for an experienced Software Engineer to help design and run our customer-facing recommender services reliably, efficiently, and with dedication to delivering to our users the music they will love to listen to. Music is our passion, and our aim is to connect artists to music lovers like ourselves. We build amazing experiences for our users while respecting their privacy. Our team is a friendly bunch of people from more than 10 countries. We help each other grow and realize the best work for our users. We're also part of a larger team at Apple Services Engineering and beyond. We work together to realise a single unified vision, making use of Apple's unique integration of hardware, software, and services. And although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering great opportunities to collaborate and grow. Our team is responsible for providing personalized features for Apple Music including some of the most high-traffic surfaces such as Home, Radio, and Personal Mixes. Our work includes building and maintaining ML-backed high-throughput online services, online experimentation and data analysis, as well as building and maintaining large-scale offline big data pipelines. Here you have a phenomenal opportunity to help build and evolve global-scale, leading-edge dynamic data systems as we grow our amazing Cupertino-based team. We are responsible for the full lifecycle: collaboration with the Product team, system design, implementation, continuous optimization and improvement. What you will be working on: - Building products and services for millions of users with a focus on great customer experience and privacy - Developing complex systems that integrate data from many sources to deliver on-the-fly personalization at low latencies - Tuning performance considering both latency and throughput - Deploying our systems globally for improved resiliency and end-user experience - Collaborating across teams to take new user-facing features from conception to production - Working within our team to develop and deploy massive datasets to improve personalized features - Prototyping algorithm changes and launching A/B tests to measure changes to personalized products

About the company

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.

Skills

java
sql
algorithms
ml
big data
recommender systems
kubernetes
personalization