The AIML team at Apple is seeking a senior machine learning engineer to work on advanced modeling technologies that enhance AI-driven experiences. This role involves designing software systems and algorithms for efficient training and inference in both on-device and server environments. The team focuses on large-scale deep learning, improving scalability, and accelerating performance. Candidates will have the opportunity to contribute to open-source projects and collaborate with a multidisciplinary group of experts.

• PhD or Master's degree in Computer Science or equivalent industry experience.
• 3+ years of experience in the AI/ML field.
• Strong Python programming skills.
• Solid understanding of software-hardware co-design principles and algorithms.
• Deep experience with PyTorch internals and high-performance ML infrastructure.
• Strong understanding of LLM architectures and their core building blocks.
• Experience working on AI/ML-optimized runtime stacks.
• Familiarity with parallelization algorithms for large model training.
• Familiarity with recent developments in foundation model architectures.
• Experience with parallel training libraries such as PyTorch Distributed, DeepSpeed, or FairScale.
• Experience building ML models for on-device inference.
• Publication record at ML conferences such as MLSys, NeurIPS, etc.

• Develop core components for Apple's scalable ML platform.
• Push the limits of existing training technologies.
• Create new techniques to overcome system constraints.
• Deploy work on high-impact tasks across teams building Apple Intelligence products.
• Contribute to open-source projects.

• 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.