Machine Learning Engineering Manager, Evaluation, Agentic Search Capabilities, Proactive

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 users emails messages events files and more while keeping personal data private.

We are looking for a Machine Learning Engineering Manager with a passion for building scalable high-quality solutions to evaluate personalized search 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.

Lead a team of applied machine learning and software engineers to design and build scalable automated systems for end-to-end evaluation of personalized Agentic SearchnContribute to the design and implementation of offline and online metrics to assess quality at the product and component level for Personal Question Answering and drive iterative improvementnCollaborate with partner teams to define data and evaluation requirements set priorities and identify opportunities to enhance the Personal Question Answering stacknDefine the long-term technical vision for personalized Siri Search quality identify gaps and drive solutions as part of a broader roadmap

6 or more years of industry experience building machine learning or machine learning evaluation systems at scalen2 or more years of industry experience in technical leadership or managementnKnowledge of machine learning fundamentals neural network architectures and software engineering in Python or C/CnCommunication and collaboration skillsnBachelors degree in Computer Science Engineering Statistics or a related field

Experience designing and building production machine learning systems in search natural language processing recommendation systems or information retrievalnExperience in data collection data generation or data quality assessment of language image or multimodal datanAdvanced degree (Masters or Ph.D.) in Computer Science Engineering Statistics or a related field or equivalent industry experience