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 access information across Apple's ecosystem. You'll work in one of the most dynamic high-performance computing environments, handling petabytes of data and millions of queries per second.

As a Staff ML Engineer, you'll collaborate with world-renowned experts in large-scale data management and machine learning systems, focusing on question answering, assistant response ranking, summarization, and search technologies. You'll be instrumental in 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.

The position offers the opportunity to shape 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 across Siri, Spotlight, Safari, Messages, and more.

The role requires extensive experience in machine learning and software engineering, with expertise in programming languages like C++, Python, Scala, and Go. You'll work with large-scale data processing frameworks and modern ML tools while contributing to features that impact hundreds of millions of users daily.

The compensation package includes a competitive base salary range of $197,400 to $360,200, plus opportunities for equity through stock programs, comprehensive benefits, and potential bonuses. This is a chance 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.