Siribase Software Engineer
Posted 3 days ago
The Knowledge Graph team is looking for outstanding engineers to build the next- generation of knowledge graph and data infrastructure at Apple to power features including Siri and Spotlight. If you are interested in building a world-class knowledge graph that powers Apple's amazing range of products, this is the place to be.
The Siri Knowledge Graph team is building groundbreaking technology in the areas of question answering, knowledge base construction and machine learning. We seek to be a "know-it-all" question answering system, capable of answering questions from hundreds of millions of users about nearly anything. The question answering system is backed by a knowledge graph that was automatically constructed from a vast number of data sources including natural language text, HTML tables, and many others. You will have exciting opportunities to working on rapidly building a more complete and accurate knowledge graph with impact across all of Apple. This knowledge graph also enables many other features across Apple besides the question answering feature at Siri. The problems we pursue include: -Information Extraction from natural language text and semi-structured data such as HTML tables - Data Integration (e.g., Entity Resolution and Knowledge Fusion) - Knowledge graph reasoning and inference - Named Entity Linking - Crowdsourcing Passionate about shipping products used by hundreds of millions of customers? Applying groundbreaking technologies to create services that just work? If so, this might just be the place for you. In a fast-paced, continuously-integrated environment, you'll design and implement robust, scalable systems capable of processing an ever-growing data set while keeping latency low and quality high. You'll work closely with knowledge extraction engineers to integrate new data, and with engineers from across Siri to deliver data for customer-facing services. Your responsibilities will also include developing tools and tests to ensure quality and help diagnose issues. Key to success will be the ability to deliver results, a passion for perfection, and a willingness to keep learning and improving oneself.
Full time employment
$6.2 billion in Funding
4.0 / 5 (15000 reviews)Found on Stack Overflow nlp unix spark apache python hbase