ML Engineering Manager, Agentic Search Evaluation
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Sep 25, 2026. Apple scores A on the Alion truth index.
The Siri team is redefining how hundreds of millions of people access information across Apple devices, with privacy built in from the ground up. As part of the Agentic Search Evaluation team, you will help advance Apple Intelligence through personalized search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more. Your team researches and builds deep search systems for Personal Question Answering, enabling Siri to answer questions about a user's emails, messages, events, files, and more, while keeping personal data private.
Description
We are looking for a Machine Learning Engineering Manager with a passion for building scalable, high-quality solutions to evaluate personalized search applications. In this role, you will directly shape how Apple assesses and improves the quality of Agentic Search - driving solutions across search quality, data quality, and both offline and online metrics to enable iterative product improvements. You will lead a team focused on evaluating Agentic Search experiences that power personalized Siri AI and enable answers to users' personal questions, with privacy at the forefront. Your team designs and builds evaluation systems, develops data generation and curation methods, and creates metrics frameworks for quality assessment and continuous improvement.
Minimum Qualifications
6 or more years of industry experience building machine learning or machine learning evaluation systems at scale
2 or more years of industry experience in technical leadership or management
Knowledge of machine learning fundamentals, neural network architectures, and software engineering in Python or C/C++
Communication and collaboration skills
Bachelor's degree in Computer Science, Engineering, Statistics, or a related field
Preferred Qualifications
Experience designing and building production machine learning systems in search, natural language processing, recommendation systems, or information retrieval
Experience in data collection, data generation, or data quality assessment of language, image, or multimodal data
Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent industry experience