Apple is looking to solve the problem of providing accurate, concise, and fresh answers for users' world knowledge questions across various Apple products and services like Siri, Spotlight search, and Safari. This involves discovering, processing, extracting, and organizing world knowledge, as well as understanding user queries and generating relevant answers and experiences.
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.
- Generate high-quality answers and dialog/experiences using LLM-powered models.
- Devise the product vision and strategy for knowledge answering.
- Integrate Apple's knowledge infrastructure and generative models.
- Deliver knowledge-driven user experiences.
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.
- Ability to work with a wide range of organizational partners across design, product and marketing, software engineering, data science, foundation models, and machine learning.
