The Siri and Information Intelligence team at Apple is seeking an exceptional Machine Learning Engineer to join their prestigious group focused on revolutionizing how hundreds of millions of people access information across Apple products. This role sits at the intersection of large-scale computing and advanced machine learning, handling petabytes of data and millions of queries per second.
As a Machine Learning Engineer on the Search and Knowledge Quality Team, you'll work alongside world-class experts in large-scale data management and machine learning systems. Your primary focus will be on advancing knowledge question answering capabilities within Siri and other Apple products, directly impacting how users interact with their devices daily.
The role involves designing and implementing cutting-edge features for platforms that manage complex data structures, requiring expertise in both applied machine learning and robust software engineering. You'll work with various data types including graph data, web documents, and both semi-structured and unstructured data feeds.
Key responsibilities include:
The ideal candidate will bring strong programming skills in languages like Python, C++, and Go, along with extensive experience in machine learning and natural language processing. You'll have the opportunity to work with modern ML frameworks such as PyTorch and TensorFlow, and contribute to systems that process massive amounts of data.
This position offers the chance to work on products that impact millions of users while collaborating with some of the industry's brightest minds in machine learning and AI. You'll be at the forefront of innovation in search technology and knowledge systems, helping to shape how users interact with Apple's ecosystem of products and services.
Benefits include competitive compensation, stock options, comprehensive healthcare, education reimbursement, and the opportunity to work on groundbreaking technology at one of the world's most innovative companies. Join us in creating the next generation of intelligent search and knowledge systems that will define the future of human-computer interaction.