The System Intelligence and Machine Learning (SIML) Content Understanding team is looking for a Senior Research Manager in Multimodal Reasoning. This role involves working with teams focused on operating system-wide embeddings and personalized RAG workstreams. The main focus is on advancing Apple Intelligence capabilities through collaboration with hardware engineering, design, and product teams. The position requires fluency in algorithm development and leading cross-functional research initiatives.

• 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.
• Proven track record of research contributions through publications or open source contributions.
• Experience in leading applied research efforts in Multimodal-LLMs.
• Familiarity with distributed training and large-scale data infrastructure.

• Lead cross-functional teams on company-wide research efforts.
• Set up future-facing research investigations in multimodal reasoning.
• Prototype and incorporate algorithmic innovations in emerging agentic experiences.
• Interface with large-scale modeling and data infrastructure.
• Transition applied research initiatives to customer-facing experiences.

• 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.