This role involves contributing to innovative research in machine learning technology, specifically focusing on Multimodal LLMs and AI Agents. The team seeks passionate mid-level and junior researchers to engage in long-term, curiosity-driven projects that will shape the future of Apple products. Researchers will collaborate with leading machine learning engineers and have opportunities to publish their findings in reputable scientific venues. The position emphasizes hands-on experimentation and rapid prototyping in a diverse and collaborative environment.

• PhD, MS or equivalent in Computer Science, Engineering, or a related field.
• Strong mathematical skills in linear algebra and statistics.
• Demonstrated expertise in Machine Learning or Computer Vision.
• Publication record in relevant conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or CoRL.
• Hands-on experience with deep learning toolkits such as Jax or PyTorch.
• Expertise in Foundational Models and/or Reinforcement Learning.
• Experience with Scalable ML Systems and Frameworks.

• Propose and co-develop innovative research in Multimodal LLMs and AI Agents.
• Execute research through implementation and experimentation in collaboration with other researchers and engineers.
• Work on modeling and data decisions that enhance reasoning and planning capabilities in Multimodal LLMs.
• Rapidly prototype ideas and utilize scalable distributed compute.
• Collaborate with product partners to create prototypes for internal product efforts.
• Publish research results in high-quality scientific venues.

• 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.