The System Intelligence and Machine Learning (SIML) Content Understanding teams are looking for a Staff Applied Researcher in Reasoning & Memory Systems. This role involves working on operating system-wide embeddings and personalized RAG workstreams, focusing on enhancing Apple Intelligence capabilities. The candidate will collaborate with hardware engineering, design, and product teams to advance algorithmic innovations. A strong emphasis is placed on agentic reasoning and memory systems.

• PhD or MSc in Computer Science, Electrical Engineering, or a related field with a focus on machine learning.
• Strong fundamentals in machine learning and generative modeling.
• Expertise in reinforcement learning, multimodal training, or pre-training/post-training foundation models.
• Proficiency in using ML toolkits such as PyTorch.
• A proven track record of research contributions through publications or open source contributions.
• Experience in building and deploying Multimodal-LLMs.
• Familiarity with distributed training and large-scale data infrastructure.

• Develop algorithms for agentic reasoning and memory systems.
• Collaborate with system engineers to prototype algorithmic innovations.
• Interface with large-scale modeling and data infrastructure.
• Contribute to the advancement of Apple Intelligence capabilities.
• Work closely with cross-disciplinary teams to enhance product features.

• 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.