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

The Siri and Information Intelligence team at Apple is seeking a Staff Machine Learning Engineer to join their prestigious Search and Knowledge Quality Team. This role is at the forefront of revolutionizing how hundreds of millions of people use their devices to get information. As a key member of the team, you'll work in one of the most dynamic high-performance computing environments, handling petabytes of data and millions of queries per second.

You'll collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, focusing on question answering, assistant response ranking, summarization, and search technologies. The role involves designing and developing cutting-edge features for platforms involving large-scale data management, machine learning, and deep learning systems applied to graph data, web documents, and both semi-structured and unstructured data feeds.

Your work will directly impact how users interact with Siri, Spotlight, Safari, Messages, and more. You'll be instrumental in shaping upcoming Apple products by leveraging your applied machine learning expertise and robust software engineering skills. Working alongside a diverse team of applied scientists and distributed systems engineers, you'll help refine user search experiences to ensure they are seamless and deeply satisfying in meeting users' information-seeking needs.

The role offers competitive compensation, including a base pay range of $207,800 to $378,700, plus opportunities for equity through Apple's discretionary employee stock programs. You'll receive comprehensive benefits including medical, dental, and vision coverage, retirement benefits, education reimbursement, and various other perks that come with being part of one of the world's most innovative technology companies.

This is an exceptional opportunity for a seasoned professional with 15+ years of experience to make a significant impact on how information is accessed and utilized across Apple's ecosystem while working with cutting-edge technology and world-class talent.