The Software Engineer role focuses on building innovative Generative AI experiences using state-of-the-art NLP and machine learning technologies. The team is responsible for the research, development, and deployment of ML/NLP technologies that enhance Apple Intelligence on devices and private compute cloud. This position offers opportunities for collaboration across various engineering teams and emphasizes the importance of hands-on experience in NLP and software engineering. The ideal candidate will contribute to productizing Generative AI features for Apple while working in a dynamic and collaborative environment.

• Proven hands-on NLP experience in conjunction with Software Engineering.
• Experience writing production software in Swift, C/C++, Obj-C, or Python.
• Good machine learning fundamentals.
• B.S, M.S. or PhD in Computer Science or a related field.
• Hands-on experience in using open-source ML toolkits, such as PyTorch.
• Hands-on experience with building NLP/Generative AI applications.
• Excellent communication and organizational skills.

• Translate expertise in NLP and ML into impactful applications for users.
• Collaborate closely with several engineering teams at Apple on machine learning and NLP projects.
• Engage in text processing and empirical experimentation for building state-of-the-art NLP models.
• Productize Generative AI features for Apple across various platforms.
• Share knowledge within the team and stay updated on state-of-the-art 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.