Machine Learning Cloud Engineer, Information Security

$166,600 - $250,600/Yr

Apple - Seattle, WA

Full-time - Manager

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 application of machine learning. This role involves managing a team of machine learning engineers to develop and implement innovative security solutions, transforming reactive security measures into autonomous protection. The manager will guide the team in building AIML solutions that integrate machine learning into security processes, collaborating with researchers and other teams to improve security outcomes and foster innovation.

Responsibilities

• Manage a team of 5 machine learning engineers.
• Guide the team in the development and implementation of machine learning models.
• Oversee model retraining and refactoring efforts.
• Identify and design new approaches and techniques for security outcomes.
• Collaborate with security teams to incorporate machine learning into their processes and services.
• Work with machine learning researchers to build solutions based on innovative research.
• Support the team in their daily needs and connect with other teams across Apple.
• Identify and integrate tools and resources across Apple to achieve security goals.

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.
• Experience with CI/CD software development lifecycle and machine learning pipelines.
• Experience building, operating, and maintaining production services in cloud-native environments.
• Experience designing and implementing database schemas for service data storage.
• Familiarity with CUDA, Torch, or TensorFlow, and production deployment of models to CUDA devices.

Nice-to-haves

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

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Opportunity to participate in Apple's discretionary employee stock programs.