Principal Machine Learning Engineer, Answers, Search & Knowledge Platforms

Do you want to make Siri and Apple products smarter for our users The Search u0026 Knowledge Platform team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation information safety and search technologies while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products including Siri Spotlight Safari Messages Lookup and more.

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 Apples 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.

8 years of experience leading engineering/applied research/ML experiences in search natural language processing/understanding and conversational 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)nStrong engineering and Ru0026D experience in E2E knowledge graph technologiesnExceptional verbal and written communication skills to leadnProduct Vision. nAbility to manage long-term strategy and short-term engineering leadership and fundamentals.