The Research Engineer in Reasoning & Memory Systems will work within the System Intelligence and Machine Learning Content Understanding teams at Apple. This role focuses on advancing Apple Intelligence capabilities through algorithm development and collaboration with hardware engineering, design, and product teams. The engineer will engage in projects related to operating system-wide embeddings and personalized RAG workstreams. The position offers opportunities to prototype and incorporate innovative algorithms while addressing robustness challenges in model alignment.

• 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.
• Proven experience in reinforcement learning, multimodal training, or pre-training/post-training foundation models.
• Proficiency in using ML toolkits such as PyTorch.
• A track record of research contributions through publications in top-tier conferences or open source contributions.
• Experience with building and deploying multimodal large language models.
• Familiarity with distributed training and large-scale data infrastructure.

• Test and maintain training infrastructure.
• Partner with safety and security teams to address emerging robustness challenges.
• Align models and agents to meet production needs.
• Interface with large-scale data infrastructure.

• 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.