Jobs / App***
Software Engineer - Universal Media
App*** · San Diego, CA, United States
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San Diego, CA, United States142,300-263,300 USD/yearlyRemote
Remuneration
142,300-263,300 USD/yearly
Location
San Diego, CA, United States
Visa sponsorship
Sponsors visa
Job summary
App*** Services Engineering (ASE) teams power the App Store, App*** TV+, App*** Music, App*** Podcasts, App*** Books, Fitness+, the iTunes Store, and more. We do this on a significant scale, delivering a huge variety of software in over 35 languages to more than 150 countries. Our engineers build secure, end-to-end solutions.
Benefits
At Apple, base pay is one part of our total compensation package and is determinThis provides the opportunity to progress as you grow and develop within a role.The base pay range for this role is between $142,300 and $263,300, and your baseIncluding: Comprehensive medical and dental coverage, retirementAdditionally, this role might be eligible for discretionary bonuses or commissioLearn more about AppleNote: Apple benefit, compensation and employee stock programs are subject to eli
Qualifications
- into robust technical solutions.
- Contribute to code reviews, technical design discussions, and engineering best practices to raise the overall quality and health of the codebase.
- Preferred
- Experience in stream processing and data processing
- 5+ years of experience building resilient, high-scale, distributed microservices in production environments
- Proficiency in software programming with Java or some other object oriented programming language
- Familiarity with one or more of these
- Driven to deliver high quality solutions consistently and quickly.
- Self driven, collaborative, communicative, and fun to work with.
- Pay &
- experience, and location.
- App*** employees also have the opportunity to become an App*** shareholder through participation in App***'s discretionary employee stock programs.
Responsibilities
- Partner with data scientists to productionize and deploy personalization algorithms, ensuring models are scalable, reliable, and performant in production environments.
- Design and build data pipelines to generate and process large-scale datasets used for personalization and user targeting initiatives.
- Develop and maintain systems for delivering timely, personalized notifications to users across multiple channels.
- Monitor and optimize production systems for latency, throughput, and reliability, implementing improvements as usage scales.
- Collaborate cross-functionally with data scientists, product managers, and other engineers to translate business
Skills
Project Management
Degrees
AssociateDegreeMaster
Industry
EducationEnergyMedia
Relocation
Yes