IML - Staff Machine Learning Engineer, Ranking Quality - Siri & Information Intelligence

Apple is seeking a Staff Machine Learning Engineer to join their Siri & Information Intelligence team, focusing on Ranking Quality. This role offers an exciting opportunity to build next-generation platforms for training deep learning models at scale. As part of a team of distributed systems and machine learning experts, you'll work on creating platforms and tools that enable performant, scalable ML workloads for Apple's AI-driven experiences. The position combines technical challenges in large-scale distributed systems with cutting-edge machine learning applications.

The role offers unique opportunities to publish work at top ML conferences and contribute to open-source projects. You'll be working with world-class experts in a respectful environment that promotes growth and innovation. The team focuses on reliability, scalability, and performance of ML-related workloads, including model training, inference, and data processing.

Key responsibilities include developing components for a centralized ML platform, optimizing large-scale ML workloads, and deploying solutions across Apple's Intelligence products. The ideal candidate should have strong programming skills, experience with distributed systems, and deep learning frameworks. This position offers competitive compensation, comprehensive benefits, and the chance to make a significant impact at one of the world's leading technology companies.

Working at Apple's Seattle location, you'll be part of a dynamic team pushing the boundaries of AI and machine learning technology. The role combines technical excellence with practical impact, as your work will directly influence the development of next-generation Apple Intelligence products and services. This is an excellent opportunity for someone passionate about both distributed systems and machine learning to contribute to groundbreaking technology developments.