AIML - Sr Engineering Manager, Knowledge Graph
Cupertino, California, United States
Machine Learning and AI
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other’s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better!
Here, you’ll do more than join something — you’ll add something. In the Siri and Information Intelligence organization, we work hard to bring the best user experiences powered by Apple Intelligence. One central part of the user experience is 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. This means to discover, process, extract, and organize world knowledge in a structured way, as well as the users’ question understanding and answer generation in rich and intuitive experiences. Create ground-breaking technology to enable knowledge answering on all devices where Siri and Search features are provided. You would 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.
Description
In this role, you will drive E2E Apple Knowledge Graph engineering to generate answers and experiences for users' knowledge questions. It includes open-domain knowledge extraction, knowledge conflation, knowledge graph construction, and serving. You will also 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. You are expected to 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. You will be responsible for devising the product vision and strategy, evangelizing it, executing the plan, and delivering a high-quality end-user experience. You will be able to 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.
Minimum Qualifications
- 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
Key Qualifications
Preferred Qualifications
- 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
- 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.
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.