AIML - Software Engineer (ML Efficiency), Machine Learning Platform & Infrastructure

$214,500 - $253,552/Yr

Apple - Cupertino, CA

Full-time - Mid Level

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The Software Engineer (ML Efficiency) role within Apple's Machine Learning Platform Technology & Infra team focuses on optimizing the performance of distributed machine learning workloads. This position is integral to shaping the platform that supports the development of machine learning, artificial intelligence, and computer vision applications across Apple products and services. The role requires collaboration with various partners within the company and involves a deep understanding of machine learning systems and cloud computing infrastructure.

Responsibilities

• Engage with ML researchers to optimize end-to-end performance of large scale distributed ML workloads.
• Analyze workload metrics to identify sources of inefficiencies and work with users to understand and optimize ML workloads.
• Conduct workload analysis based on benchmarking key workloads on deployed systems.
• Improve large scale training resiliency by optimizing applications and frameworks for improved recovery from failures and preemptions.
• Influence architecture, design, development, and operations of next generation ML accelerator systems based on workload insights.

Requirements

• Deep understanding of machine learning systems.
• Experience with cloud computing infrastructure.
• Strong analytical skills to analyze workload metrics.
• Ability to collaborate effectively with cross-functional teams.

Nice-to-haves

• Experience with large-scale production systems.
• Familiarity with machine learning frameworks and applications.

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.