Senior Machine Learning Engineer Search Capabilities, Proactive

Apple • Santa Clara, CA

11d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• Apply agentic search techniques to enhance user productivity and improve Siri's ability to answer questions about personal content.
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior