What are the responsibilities and job description for the Sr. Software Engineer, AppleTV Service position at Apple?
Sr. Software Engineer, AppleTV Service
San Diego,California,United States
Software and Services
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 whats next!
- Description
You will be working on the video content catalog and discovery service platform that powers the Apple TV app. This team tackles challenging and interesting problems ranging from service scalability and service runtime performance, to the creation / fine-tuning and inference of models for content discovery. Design and implement services in Java. Improve on our catalog data system built on Solr. Perform data analysis using Spark and Scala. The ideal candidate would also be comfortable with AI / ML concepts like embeddings, ANN, and integrating AI / ML models into a backend service.
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Salary : $135,400 - $250,600
