AIML - Senior Software Engineer, Machine Learning Platform and Infrastructure

$175,800 - $312,200/Yr

Apple - Cupertino, CA

Full-time - Senior

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The Senior Software Engineer for the Machine Learning Platform and Infrastructure at Apple is responsible for designing and building cloud-native infrastructure platforms that support Siri, Search, and AI/ML products. This role involves architecting scalable systems, leading the implementation of distributed systems, and collaborating with various teams to ensure seamless integration of platform solutions into machine learning workflows. The engineer will also drive the adoption of cloud-native technologies and mentor junior engineers, contributing to the team's growth and technical excellence.

Responsibilities

• Architect and develop scalable cloud-native platforms to support the deployment and operation of Apple's AI/ML services and applications.
• Lead the design and implementation of distributed systems that are resilient, secure, and optimized for high performance.
• Collaborate with AI/ML teams and other infrastructure engineers to ensure seamless integration of platform solutions into machine learning workflows.
• Drive the adoption of cloud-native technologies across the organization, influencing architectural decisions and best practices.
• Troubleshoot complex infrastructure issues, ensuring optimal performance and reliability across multi-cloud environments.
• Mentor junior engineers and contribute to the team's overall growth and technical excellence.

Requirements

• Deep expertise in infrastructure and distributed systems.
• Experience in architecting and developing cloud-native platforms.
• Strong knowledge of CI/CD pipelines and infrastructure management.
• Proficiency in troubleshooting complex infrastructure issues.
• Ability to collaborate effectively with cross-functional teams.

Nice-to-haves

• Experience with machine learning workflows and technologies.
• Familiarity with multi-cloud environments.
• Knowledge of open-source technologies related to cloud infrastructure.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments.
• Relocation assistance.