Apple is looking to solve the problem of providing accurate, concise, and fresh answers for users' world knowledge questions on Siri, Spotlight search, Safari, and many other Apps in Apple's ecosystem across different platforms
Requirements
- 5+ years of experience leading engineering/applied research/ML experiences in search, natural language processing/understanding, and conversational AI
- MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
- 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
- Experience with NLP and ML models
- Experience with LLM-powered models
- Experience with knowledge graph construction and question-answer quality improvement
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
- Devise the product vision and strategy, evangelize it, execute the plan, and deliver 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
- Integrate Apple's knowledge infrastructure and phenomenal power of generative models to deliver truly delightful knowledge-driven user experiences
- Lead the strong team of MLE, SWE, and data engineers responsible for delivering Apple Knowledge Graph construction and improving the question-answer quality of Apple products
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
- Ability to manage long-term strategy and short-term deliverables
- Strong engineering leadership and fundamentals
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
