AIML - Machine Learning Engineer(Search and Knowledge Quality), Siri and Information Intelligence

Apple's Siri and Information Intelligence team is seeking a talented Machine Learning Engineer to join their innovative team working on revolutionizing how hundreds of millions of people access information through their devices. This role sits at the intersection of cutting-edge AI technology and large-scale computing, handling petabytes of data and millions of queries per second.

The position offers an exceptional opportunity to work with world-renowned experts in large-scale data management and machine learning systems. You'll be directly involved in enhancing features across multiple Apple products, including Siri, Spotlight, Safari, and Messages, focusing on question answering, assistant response ranking, summarization, and search technologies.

As a Machine Learning Engineer, you'll be working in one of the most sophisticated high-performance computing environments in the industry. Your responsibilities will include designing and developing features for platforms that manage complex data structures, working with both structured and unstructured data feeds, and implementing advanced machine learning solutions.

The ideal candidate should have strong programming skills in languages like Python, Scala, and Go, along with experience in natural language processing and machine learning frameworks. You'll need to be comfortable working with large datasets and end-to-end pipelines, preferably using the Apache software stack.

This role offers competitive compensation, comprehensive benefits, and the opportunity to make a significant impact on products used by millions of people worldwide. You'll be part of a collaborative team environment where your contributions will directly influence how information is accessed and utilized across Apple's ecosystem.

The position comes with excellent growth potential and the chance to work on cutting-edge technology in areas like prompt engineering, large language models, and retrieval-augmented generation. If you're passionate about building phenomenal products and have a strong background in machine learning and AI, this role offers an exciting opportunity to shape the future of how people interact with technology.