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