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The Universal Media Engineering team leads the data platform that powers Apple TV. We have embarked on a journey to build the next-generation sports and media knowledge graph and 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. You'll be tackling complex problems in distributed systems, graph traversal, information retrieval and data analytics. You'll collaborate closely with a diverse set of teams that include engineers, project managers, designers and curators, 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. We offer an environment where you are an integral part of an innovative, impactful team making a difference. Be ready to make something great 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
Design, develop, test, and deploy event-based micro-services that handle multi-source sports and media metadata that feed into a knowledge graph. Design algorithms for processing of metadata across a multitude of media types like movies, TV shows, sporting events, etc. Design and implement services using Java, leveraging infrastructure components like Kafka, Cassandra, Redis, Solr, PostgreSQL, Kubernetes, etc. Analyze data from providers and partners using Python and Spark in order to distill insights that can improve the quality of the knowledge graph. Provide technical leadership and drive overall design and planning.
Minimum Qualifications
Key Qualifications
Preferred Qualifications
Education & Experience
Additional Requirements
Pay & Benefits
Posted: Feb 18, 2025
Weekly Hours: 40
Role Number:200577633