Apple's Knowledge Infrastructure team is at the forefront of revolutionizing how millions of users interact with their devices through advanced search and AI capabilities. As a Software Engineer on this team, you'll be working with one of the most sophisticated high-performance computing environments, handling petabytes of data and millions of queries per second. The role involves building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence.
You'll be part of a dynamic team that's responsible for designing and implementing robust, scalable data/ML pipelines that can handle ever-growing datasets while maintaining optimal performance. The position offers a unique opportunity to work with diverse data sources and collaborate with engineers across Apple to deliver knowledge for customer-facing services.
The ideal candidate will bring strong technical expertise in Python, Java, and distributed systems, combined with practical experience in deploying ML models to production. You'll be working in a continuously-integrated environment where your contributions will directly impact hundreds of millions of users. This role offers an exceptional opportunity to shape the future of how people interact with technology while working with cutting-edge AI and ML infrastructure.
What makes this role particularly exciting is the scale and impact of your work - your solutions will be used by hundreds of millions of Apple users worldwide. You'll have access to state-of-the-art technology and the opportunity to solve complex technical challenges while working with some of the best minds in the industry. If you're passionate about AI, machine learning, and building phenomenal products that delight users, this role offers an unparalleled opportunity to make a significant impact at one of the world's most innovative companies.