We are looking for research scientists and engineers to drive innovations in language models, machine learning, and related fields. The team consists of world-class researchers and engineers who focus on developing cutting-edge technologies that enhance the Apple ecosystem. Candidates will engage in creating frontier models and agentic workflows, contributing to work that is published in prestigious scientific journals. The environment promotes innovation, productivity, and enjoyment among team members.

• Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.
• Solid software engineering skills in complex, multi-language systems.
• Fluency in Python.
• Expertise in ML algorithms and best practices for deep learning systems.
• Proficiency with ML modeling frameworks such as PyTorch and TensorFlow.
• Strong overall software development approach with a focus on delivering clean, well-tested code.
• Bachelor's, Master's, or PhD Degree in Computer Science, Electrical Engineering, or equivalent academic or professional experience.

• Create breakthrough innovations in language models and machine learning.
• Develop and implement frontier models and agentic workflows.
• Collaborate with a team of researchers and engineers to advance technology.
• Publish research findings in selective scientific journals and conferences.
• Maintain a productive and innovative work environment.

• 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.