Apple - Seattle, WA
posted 3 months ago
As a Machine Learning Engineer in the OS Intelligence team at Apple, you will play a pivotal role in enhancing the intelligence and personalization of Apple products through innovative machine learning solutions. This team is dedicated to developing predictive forecasting models and deep foundation models that significantly improve user experiences across various operating systems, including iOS, iPadOS, macOS, watchOS, and visionOS. Your work will focus on solving critical resource tradeoff and optimization problems, which are essential for setting Apple products apart in the competitive landscape. In this highly visible role, you will be responsible for designing deep learning architectures and implementing cutting-edge machine learning algorithms. You will also contribute high-quality software that integrates seamlessly with the core of the operating system. The OS Intelligence team is looking for extraordinary candidates who can innovate, conceptualize, and prototype novel intelligent experiences by leveraging recent advances in large language models (LLMs), sequence-to-sequence models, and fine-tuning techniques such as LoRA adapters and RAG pipelines. Your responsibilities will include building scalable cloud-based and on-device infrastructure to facilitate the running of experiments and monitoring of shipped models. You will analyze and present key performance data for highly-visible OS features, ensuring that the solutions you develop are both effective and efficient. Writing elegant and performant code in Objective-C or Swift will be a critical part of your role, along with testing, debugging, and productizing your work. Additionally, you will consult with and influence other teams to drive the adoption of new APIs, ensuring that your innovations are integrated across the organization.