AIML - Senior Software Engineer, Machine Learning Platform and Infrastructure

$175,800 - $312,200/Yr

Apple - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Computer and Electronic Product Manufacturing

About the position

The MLPT Cloud Infrastructure Team at Apple is seeking a passionate software engineering leader to design and build cloud-native infrastructure platforms for Siri, Search, and AI/ML products. This role involves architecting scalable platforms that leverage cutting-edge technologies and machine learning to enhance user experiences for billions of Apple users. The successful candidate will drive innovation, build resilient systems, and collaborate with various teams to support Apple's global AI/ML initiatives.

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

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 5+ years programming experience in languages such as Golang, Python, Java, Rust, C/C++ etc.
• Proven track record of building large scale, cloud based complex distributed systems; identifying shortcomings and optimization opportunities; and making data driven cost performance tradeoffs to influence design decisions.
• Experience building and operating infrastructure and tools that empower developers/product teams to deliver business value.
• Experience leading and creating strong technical teams that balance operational excellence, collaboration and user needs.
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards.
• Experience handling critical incidents for production systems.

Nice-to-haves

• 9+ years of experience in cloud infrastructure and distributed systems engineering.
• Strong Proficiency in Go, Python or Rust with experience in building automation tools and distributed systems.
• Extensive experience in architecting, building and running distributed large-scale Kubernetes based systems in production.
• Proficiency in Kubernetes controller development and automating cluster management.
• Strong knowledge of CI/CD pipelines and DevOps practices.
• Experience managing cloud environments (AWS, GCP) infrastructure as code (IaC).
• Familiarity with monitoring and observability tools to ensure high availability and performance.
• Strong problem-solving skills, capable of debugging issues that span heterogenous compute environments.
• Excellent communication and collaboration skills, with a proven ability to work across engineering teams and influence architectural decisions.

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
• Opportunity to participate in Apple's Employee Stock Purchase Plan