Join Apple's Siri and Information Intelligence team, where you'll be at the forefront of redefining how hundreds of millions of people access information through their devices. As a Machine Learning Engineer, you'll work on cutting-edge technologies including LLMs and RAG to enhance Siri's capabilities across Apple's ecosystem - from Spotlight to Safari, Messages, and more. The role combines applied ML research with production-level implementation, focusing on question answering, response ranking, and search technologies.
You'll be part of a diverse team of applied scientists and distributed systems engineers, working on training and deploying models at scale. The position offers unique opportunities to shape future Apple products while working with the latest advances in deep learning and online inference optimization. The team's work directly impacts core Apple services and products, making this an opportunity to influence how millions of users interact with their devices.
The role offers competitive compensation, comprehensive benefits, and the chance to become an Apple shareholder. You'll work in Seattle, collaborating with talented professionals who bring diverse backgrounds in NLP and distributed systems. This position is perfect for someone who combines strong ML fundamentals with practical engineering skills and wants to make a direct impact on products used globally.
The ideal candidate should have experience with deep learning frameworks, a strong understanding of ML fundamentals, and the ability to translate product requirements into technical solutions. With Apple's commitment to innovation and user experience, you'll be contributing to some of the most widely-used AI products in the world.