The role is for a senior machine learning engineer on the Intelligence System Experience team at Apple, focusing on developing software systems and algorithms for scalable training and inference in AI-driven experiences. The team operates at the intersection of multimodal foundation models and efficient ML infrastructure, aiming to enrich lives through advanced technologies. Candidates will work on high-impact tasks and have opportunities to contribute to open-source projects. The position emphasizes collaboration with skilled engineers and offers a respectful work environment with growth opportunities.

• 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.
• Solid understanding of the PyTorch software stack.
• 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.

• Design software systems and algorithms for performant and scalable training and inference.
• 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.
• Encourage and 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.