Join Apple's OS Intelligence team within Core OS Power & Performance, where Machine Learning transforms the user experience at the operating system level. As a Machine Learning Engineer, you'll work on innovative ML solutions from predictive forecasting to deep foundation models that enhance battery life, app launches, and overall system intelligence across iOS, iPadOS, macOS, watchOS, and visionOS.
You'll be at the forefront of implementing cutting-edge Machine Learning algorithms, working with LLMs, sequence-to-sequence models, and fine-tuning techniques like LoRA adapters and RAG pipelines. This highly visible role offers the unique opportunity to work cross-functionally, adding intelligence to new domains and creating beautiful user experiences that impact millions of users.
The position combines deep technical expertise in ML with practical software development, requiring skills in both cloud-based and on-device infrastructure. You'll be part of a focused Applied Machine Learning team that ships key features in annual OS releases, directly influencing how Apple products become more intelligent and personalized.
This is an exceptional opportunity for someone passionate about operating systems and machine learning to make a significant impact at Apple. You'll work with state-of-the-art technology, collaborate with talented teams, and contribute to features that directly enhance the user experience of Apple products. The role offers competitive compensation, comprehensive benefits, and the chance to grow within a company known for innovation and excellence.