The Machine Learning Tools Engineer role is focused on building and evolving the infrastructure, tools, and libraries that support model development and deployment within Apple's Intelligence System Experience team. This team operates at the intersection of multimodal machine learning and system experiences, aiming to enhance user experiences through innovative technologies. The ideal candidate will combine strong software engineering skills with a solid understanding of machine learning, working closely with researchers and engineers to improve developer experience. This hands-on position requires a balance of building scalable systems and providing operational support to a growing user base.

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 3+ years of experience in software development with strong Python proficiency.
• Familiarity with machine learning fundamentals and frameworks such as PyTorch, TensorFlow, or JAX.
• Experience with Linux systems, containers like Docker, and version control systems such as Git.
• Strong debugging, analytical, and problem-solving skills.
• Prior experience in an ML platform, infrastructure, or productivity tools team.

• Design, develop, and maintain core ML infrastructure components including training pipelines and deployment tooling.
• Collaborate with ML practitioners to identify pain points and create productized solutions.
• Build and maintain Python-based SDKs, CLIs, and APIs for ML engineers.
• Ensure tools are robust, performant, and user-friendly with strong observability and documentation.
• Partner with infrastructure, MLOps, and platform teams for end-to-end system integration.

• 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.