The role involves working with the Machine Learning Platform Technology team at Apple to enhance Siri and other Apple products through advanced machine learning technologies. The team focuses on search, natural language processing, and artificial intelligence, utilizing large-scale ML systems to process petabytes of data. You will have the opportunity to optimize language, vision, and speech models while maintaining Apple's privacy standards. This position offers a chance to work in a high-performance computing environment and contribute to innovative products that serve millions of users.

• 4+ years of experience with large language models (LLMs), large multimodal models (LMMs), computer vision, or related AI/ML technologies.
• Experience developing and evaluating machine learning models, with a strong understanding of data and model quality.
• Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch, TensorFlow, or JAX.
• Experience building large-scale machine learning systems and working with distributed data processing frameworks.
• Strong problem-solving skills with a results-oriented mindset.
• Experience leading rapid prototyping and proof-of-concept development for AI/ML applications.
• Excellent communication skills, with the ability to work independently and collaborate effectively with cross-functional teams.
• Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent industry experience.

• Design, build, and maintain large-scale machine learning systems.
• Optimize billions of parameter language and vision and speech models using state-of-the-art technologies.
• Ensure data processing and querying uphold Apple's rigorous privacy standards.
• Collaborate with cross-functional teams to develop innovative AI/ML applications.
• Lead rapid prototyping and proof-of-concept development for new technologies.

• 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.