Senior Machine Learning Engineer 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 Applied ML team you will advance Apple Intelligence through agentic search result ranking and low-latency production services that power experiences across Siri Spotlight Safari Messages and more. Our 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.

You will apply agentic search techniques to enhance user productivity and improve Siris ability to answer questions about personal content. You will own models responsible for answering user questions using personal documents with privacy at the forefront and integrate these with broader Siri capabilities to deliver powerful intuitive experiences. You will contribute across the full research and development lifecycle from defining quality metrics and evaluation frameworks to building data pipelines and shaping the long-term technical vision for Personal Question Answering.

Research design implement and evaluate agentic search systems and underlying models to improve quality performance and Personal Question Answering capabilitiesnExtend and improve search technologies through prompt optimization context management post-training techniques and high-quality data pipeline developmentnDefine quality metrics and evaluation benchmarks; build evaluation platforms and design experiments to validate hypotheses and support team-wide decisionsnCollaborate with partner teams to define product requirements priorities and opportunities to enhance Personal Question AnsweringnDefine the long-term technical vision for Personal Question Answering quality; identify problem areas and integrate solutions into a broader roadmap

8 or more years of industry experience in machine learning natural language processing and applying these techniques at scalenSoftware engineering proficiency in Python Go or C/CnExperience with machine learning frameworks such as PyTorch JAX TensorFlow or XGBoostnWritten and verbal communication skillsnBachelors degree in Computer Science or equivalent

Knowledge of training evaluating and deploying deep learning models and large language models for production systemsnExperience building production machine learning systems in search recommendation systems or information retrievalnAbility to prototype solutions and perform analysis to evaluate resultsnBackground in search relevance and ranking question answering personalization user behavior modeling or data-driven decision-makingnAdvanced degree (Masters or Ph.D.) in Computer Science Statistics or a related field or equivalent industry experience