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 user's emails, messages, events, files, and more, while keeping personal data private.
Description
You will apply agentic search techniques to enhance user productivity and improve Siri's 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.
Minimum Qualifications
8 or more years of industry experience in machine learning, natural language processing, and applying these techniques at scale
Software engineering proficiency in Python, Go, or C/C++
Experience with machine learning frameworks such as PyTorch, JAX, TensorFlow, or XGBoost
Written and verbal communication skills
Bachelor's degree in Computer Science or equivalent
Preferred Qualifications
Knowledge of training, evaluating, and deploying deep learning models and large language models for production systems
Experience building production machine learning systems in search, recommendation systems, or information retrieval
Ability to prototype solutions and perform analysis to evaluate results
Background in search relevance and ranking, question answering, personalization, user behavior modeling, or data-driven decision-making
Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, or a related field, or equivalent industry experience
