This position is part of Apple's Machine Learning Research organization, focusing on building technologies that will enhance future products. The team is dedicated to developing scalable, distributed training and research pipelines in collaboration with researchers and software engineers. The role requires a strong background in system engineering and software development, particularly in machine learning algorithms. Candidates will work on high-performance software solutions that address novel ML research challenges.

• 2 years of experience in C++ and Python numerical computing
• 2 years of low-level programming experience
• 2 years of GPU programming experience
• Experience with open-source projects and collaborative software development
• Experience with machine learning algorithms
• Excellent communication skills
• Bachelor's, Master's, or PhD in Computer Science with a strong mathematical background
• 3+ years of experience in C++ and Python programming
• 3+ years of expertise in GPU programming
• Experience with Swift programming is a plus
• Past research experience is a plus

• Work with researchers and software engineers on the MLX team to build high-performance and scalable software.
• Apply solid software engineering skills to develop solutions for unexpected challenges.
• Explore research software solutions to advance machine learning toolboxes.
• Contribute to a small team focused on advancing ML algorithms and techniques on Apple silicon.

• 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.