Apple - Seattle, WA
posted 3 months ago
As a Staff Machine Learning Engineer/Scientist in the Siri and Information Intelligence team at Apple, you will play a pivotal role in enhancing the intelligence of Siri and other Apple products. This R&D team is at the forefront of redefining how users interact with their devices to access information. You will be involved in pushing the boundaries of question answering, assistant response ranking, and search technologies, while also managing a production service that impacts hundreds of millions of users. Your work will contribute to a broader initiative aimed at powering information across various Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. In this fast-paced environment, you will leverage and refine cutting-edge deep learning techniques to understand user queries, rank intents, and identify relevant documents to provide useful answers. The team is responsible for training and deploying machine learning models at scale, utilizing the latest advancements in model compression and inference-optimized hardware. You will have the unique opportunity to shape upcoming Apple products, collaborating with a diverse group of professionals ranging from applied scientists specializing in natural language processing (NLP) to seasoned distributed systems engineers. Your role will involve analyzing search ranking and relevance requirements, utilizing frameworks such as PyTorch, TensorFlow, and JAX for model training and deployment, and translating product requirements into actionable modeling and engineering tasks. You will also be expected to build machine-learned models for search relevance ranking and query understanding, and to publish and present your findings at leading NLP conferences such as EMNLP and NAACL.