Software Engineer Universal Media

Apple Services Engineering (ASE) teams power the App Store Apple TV Apple Music Apple Podcasts Apple 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. They develop the custom software used to process all the creative work the tools that providers use to deliver that media all the server-side systems and the APIs for many Apple services. Thanks to Apples unique integration of hardware software and services engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apples privacy policy one of Apples core values. Although Services are a bigger part of Apples business than ever before our teams remain small nimble and highly cross-functional offering greater exposure to the array of opportunities here.

What happens when the worlds most innovative engineers collaborate with the worlds most creative storytellers TV gets reinvented. Meet the re-inventors: Apple Services Video Engineering (ASE Video). ASE Video teams have embarked on a journey to build the next-generation sports and media the ASE Video teams we work every day to create products that enrich peoples lives. The teams build and manage the Apple TV app as well as tvOS which redefined and refined the way people watch movies TV shows sports and so much more. The ASE Video group is looking for a Software Engineer to join our Universal Media Engineering team. The Universal Media Engineering team leads the data platform and related tools that power the Apple TV app. We are looking for enthusiastic self-starting individuals who can bring new ideas and innovations to the platform and push the boundaries of scalability latency and quality. Does this sound like you If so we want to speak with you. As a Software Engineer you will be responsible for designing and building services that directly impact millions of users. Youll collaborate closely with a diverse set of teams that include engineering project management business operations design and curation working towards a common vision of delivering the best possible Apple TV experience for our customers. Our engineers employ their talent and tools to write the code that makes these experiences possible. They work multi-functionally with teams across Apple to build a seamless experience. This group is seeking a highly skilled Backend Engineer to help design develop and deliver new experiences for our customers. Join the team to see what else is possible!

Partner with data scientists to productionize and deploy personalization algorithms ensuring models are scalable reliable and performant in production and build data pipelines to generate and process large-scale datasets used for personalization and user targeting and maintain systems for delivering timely personalized notifications to users across multiple and optimize production systems for latency throughput and reliability implementing improvements as usage cross-functionally with data scientists product managers and other engineers to translate business requirements into robust technical to code reviews technical design discussions and engineering best practices to raise the overall quality and health of the codebase.

5 years building resilient high-scale distributed microservices in production (serving millions of users or comparable event/request volume)nProficiency in Java or another object-oriented languagenProduction experience designing and operating event-driven / streaming systems (e.g. Kafka Kinesis Pulsar) pub/sub async or stream processing at scalenHands-on experience building large-scale data pipelines on a big-data framework (e.g. Apache Spark)nExperience productionizing personalization / recommendation / ranking algorithms deploying serving and monitoring them in a live system (not offline training only)nExperience building or operating notification / message-delivery systems across one or more channels (push email SMS in-app)nProficient in algorithms and data structuresnExperience with SQL u0026 NoSQL datastores (e.g. PostgreSQL Cassandra DynamoDB MySQL) and RedisnBachelors degree in CS CE EE or a related technical field or equivalent industry experiencenEffective written and verbal communication; able to make progress with incomplete requirements

Experience partnering directly with data scientists to move models from notebook to productionnFeature stores online/offline serving model monitoring and A/B experimentationnMulti-channel delivery at scale rate-limiting dedup and delivery-guarantee designnExperience with CI/CD and cloud environments (AWS GCP or Azure)nAdvanced stream/data processing (e.g. Flink Beam Spark Structured Streaming)nMasters degree in a related technical field