We are seeking research scientists and engineers to drive innovations in machine learning, focusing on the efficiency of frontier models like LLMs and diffusion models. The team consists of world-class researchers and engineers dedicated to creating technologies that enhance the Apple ecosystem. Our work is recognized in prestigious scientific journals and conferences. We value passion, modesty, and lean habits to foster a productive and innovative environment.

• Significant experience building complete prototypes that achieve state-of-the-art performance in machine learning.
• A publication record at relevant conferences such as NeurIPS, ICML, ICLR, and COLM.
• Comfort working across the entire ML research stack, from low-level systems programming to high-level algorithm development.
• Solid software engineering skills and experience working with complex systems.
• Fluency in Python.
• Expertise in ML algorithms and best practices for working with deep learning systems.
• Proficiency with ML modeling frameworks such as PyTorch and JAX.
• A bachelor's, master's, or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent academic or professional experience.

• Create breakthrough innovations in machine learning.
• Work collaboratively with a team of researchers and engineers.
• Develop and prototype efficient frontier models.
• Publish research findings in selective scientific journals and conferences.
• Contribute to the development of technologies that enhance user experiences across the Apple ecosystem.

• 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.