Machine Learning Cloud Engineer, Information Security

$166,600 - $250,600/Yr

Apple - Seattle, WA

Full-time - Mid Level

Seattle, WA

Computer and Electronic Product Manufacturing

About the position

The Information Security Machine Learning (ISML) team at Apple is focused on enhancing information security through the use of machine learning. The team aims to transform reactive security measures into autonomous protection by leveraging data insights. The role of the ML Cloud Engineer involves building and supporting production machine learning services in cloud-native environments, contributing to both short-term problem-solving and long-term autonomous security solutions.

Responsibilities

• Build the software stack for autonomous security cloud services including command and control, telemetry, and device registration.
• Integrate machine learning inputs and outputs with service-specific data to create a robust platform for autonomous security.
• Design, adapt, and deploy a variety of machine learning models using Apple's cloud services.
• Utilize continuous integration and continuous delivery patterns to deploy API and UI services for autonomous security.
• Collaborate with team members to create suitable interfaces for devices, partners, and end users.

Requirements

• Experience with running machine learning tasks on cloud compute.
• Skilled in cloud technologies such as AWS or GCP, and container technologies like Docker and Kubernetes.
• Experience with building and running microservices using Java, Python, Go, Elixir, or similar languages.
• Familiarity with CI/CD software development lifecycle and machine learning pipelines.
• Experience in building, operating, and maintaining production services in cloud-native environments.
• Experience designing and implementing database schemas for service data storage.
• Proficiency with CUDA, Torch, or TensorFlow, and deploying models to CUDA devices.

Nice-to-haves

• Demonstrated design and delivery of cloud GPU services for inference at scale.
• Experience with AWS EKS or other Kubernetes services.
• Experience monitoring deployed models for performance and drift.
• Familiarity with MLOps or MLSRE.

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