AIML - Sr. Machine Learning Engineer, Siri Search Quality - Siri & Information Intelligence

The Siri Search Quality team at Apple is at the forefront of artificial intelligence, machine learning, and natural language processing innovation. This role is part of a team developing groundbreaking technology that is revolutionizing how hundreds of millions of people interact with their devices through search functionality.

As a Senior Machine Learning Engineer, you'll work on Siri's universal search engine, which powers search features across multiple Apple products including Siri, Spotlight, Safari, Messages, and Lookup. The position involves developing sophisticated machine learning models, leveraging LLMs, embeddings, and deep learning to build end-to-end production systems.

The role focuses on improving Query Understanding, Retrieval, Ranking, and Answer Generation within Siri Search. You'll be working with petabytes of data and signals from millions of users, combining information from various sources to deliver optimal search results that meet user intent and information needs.

Key responsibilities include analyzing search quality issues, translating product requirements into modeling tasks, building machine learning models for search relevance, and integrating search functions across Apple's ecosystem. You'll be part of a fast-paced team with the opportunity to shape upcoming Apple products.

The ideal candidate will have strong applied machine learning experience and solid engineering skills. With a minimum of 4 years of experience in LLM, machine learning, or related fields, you'll contribute to building fundamental building blocks needed for Apple Intelligence. The role offers competitive compensation, comprehensive benefits, and the chance to work on technology that impacts millions of users daily.

Working at Apple means joining a company committed to innovation, quality, and user experience. You'll collaborate with talented teams, have access to cutting-edge technology, and contribute to products that define the future of technology. The position offers growth opportunities, competitive compensation ($175,800 - $312,200), and comprehensive benefits including medical coverage, stock options, and educational support.