The role involves joining the Siri Speech team to develop and enhance machine learning models that power Siri, Apple's AI assistant. You will work at the intersection of AI and human-centered design, focusing on multimodal understanding and speaker recognition. This position requires collaboration across various teams to integrate solutions into production. The ideal candidate is a creative problem solver with a passion for building innovative products.

• M.S. in Electrical Engineering, Computer Science or related fields
• 1-2+ years of experience in Machine Learning
• Experience in developing, training/tuning large generative models or LLMs
• Proficient programming skills in Python
• Experience with machine learning frameworks such as JAX and/or PyTorch
• Experience in reinforcement learning
• Experience with Speech LLMs or other Multimodal LLMs
• Experience with building & deploying AI agents and LLMs
• Experience with large scale machine learning training/evaluation
• Strong problem-solving skills and ability to work independently as well as in a team environment
• Excellent written and verbal communication skills

• Design and develop machine learning models for Siri AI.
• Fine tune deep learning systems for speaker recognition and multimodal understanding.
• Collaborate across software engineering, data science, and product teams.
• Improve multimodal algorithms that determine user interaction with Siri.
• Build production-quality models that enhance natural voice experiences.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.