Machine Learning Research Engineer

Apple, a pioneer in creating transformative technology products, is seeking a Machine Learning Research Engineer in Seattle to enhance their search and discovery capabilities across their ecosystem of products and services. This role sits at the intersection of machine learning, information retrieval, and large-scale systems engineering.

The position offers an opportunity to work on improving search functionality across Apple's major platforms including iTunes Store, App Store, Apple Music, Movies, Podcasts, and iBooks. You'll be responsible for developing sophisticated machine learning models and search algorithms that directly impact millions of users' ability to discover content effectively.

As a Machine Learning Research Engineer, you'll work with cutting-edge technologies in machine learning and information retrieval, including deep neural networks, semantic search, and distributed systems. You'll have the chance to implement and scale solutions using modern tech stack including Go, Python, and Scala, while leveraging cloud infrastructure for large-scale data processing.

The role combines theoretical knowledge with practical implementation, requiring expertise in both machine learning algorithms and software engineering practices. You'll collaborate with world-class engineers and researchers, contributing to A/B testing, feature engineering, and model optimization to drive meaningful improvements in search quality.

Apple offers a competitive compensation package, including a base salary range of $171,454 - $250,600, along with comprehensive benefits, stock options, and the opportunity to work on products that impact millions of users globally. The company's commitment to innovation, coupled with its resources and scale, makes this an ideal position for someone looking to make a significant impact in the field of machine learning and search technology.