Apple is looking to improve the accuracy, conciseness, and freshness of answers provided to users' world knowledge questions across various Apple products and services like Siri, Spotlight search, and Safari. This involves developing ground-breaking technology to enable knowledge answering on all devices where Siri and Search features are provided, and to create delightful knowledge-driven user experiences that are uniquely Apple.
Requirements
- 5+ years of experience leading engineering/applied research/ML experiences in search, natural language processing/understanding, and conversational AI.
- Strong background and experience in Search and related technologies (Machine Learning, Ranking, Relevance and Metrics)
- Strong engineering and R&D experience in E2E knowledge graph technologies
Responsibilities
- Drive E2E Apple Knowledge Graph engineering to generate answers and experiences for users' knowledge questions.
- Lead the team in developing advanced NLP and ML models to understand user query entities and intent, retrieve the relevant entities and facts from the knowledge graph, and generate high-quality answers and dialog/experiences using LLM-powered models.
- Take advantage of the Apple ecosystem that blends cutting-edge hardware, software, and strong privacy/security guarantees, integrate this with Apple’s knowledge infrastructure and phenomenal power of generative models, and then deliver the truly delightful knowledge-driven user experiences that are uniquely Apple.
- Devise the product vision and strategy, evangelizing it, executing the plan, and delivering a high-quality end-user experience.
- Work with a wide range of organizational partners across design, product and marketing, software engineering, data science, foundation models, and machine learning and profoundly impact billions of Apple users worldwide.
- Open-domain knowledge extraction, knowledge conflation, knowledge graph construction, and serving.
Other
- MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
- Exceptional verbal and written communication skills to lead
- Product Vision. Ability to manage long-term strategy and short-term deliverables.
- Strong engineering leadership and fundamentals.
