We are looking for research scientists and engineers to drive innovations in machine learning, focusing on frontier models such as LLMs and diffusion models. The team consists of world-class researchers and engineers dedicated to advancing AI and its applications in science. Our work contributes to cutting-edge technologies within the Apple ecosystem and is recognized in prestigious scientific journals and conferences. We value innovation, productivity, and a collaborative environment that fosters creativity and joy.

• Publication record in relevant conferences such as NeurIPS, ICML, ICLR, and COLM.
• Significant experience building complete prototypes that achieve state-of-the-art performance.
• Comfortable across the entire ML research stack, from low-level system programming to high-level algorithm development.
• Solid software engineering skills in complex systems with fluency in Python.
• Expertise in ML algorithms and best practices for deep learning systems.
• Proficiency with ML modeling frameworks like PyTorch and Jax.
• 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, Mechanical Engineering, or equivalent experience.

• Create breakthrough innovations in machine learning.
• Collaborate with a team of top researchers and engineers.
• Develop and prototype advanced machine learning models.
• Publish 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.