As a research engineer at Apple, you will focus on building the infrastructure and systems that enhance video technology across Apple products. This role requires a self-directed individual who thrives at the intersection of machine learning, systems engineering, and performance optimization. You will work collaboratively with colleagues to design and scale ML-based video solutions. Your contributions will significantly impact the video experience for billions of users.

• BS and 10+ years of hands-on industry experience building production ML systems.
• Deep familiarity with ML-centric flows and best practices.
• Proficiency in Python, C++, and PyTorch.
• Familiarity with computer architecture principles.
• Proficiency in AI tooling such as Claude.
• MS specializing in ML systems, performance engineering, or a related area.
• Experience implementing custom ops in CUDA or low-level GPU kernel optimization.
• Research experience in ML model design.
• Experience with visual data and related vision algorithms.
• Experience with distributed training and large-scale data pipelines.

• Build the infrastructure, pipelines, systems, and models for video technology.
• Design, scale, and harden systems for ML-based video approaches.
• Solve challenging problems across efficiency optimization, training, data, and deployment.
• Collaborate with colleagues to enhance the video experience in Apple products.

• 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.