Machine Learning Cloud Engineer, Information Security

Key Skills

CUDA kernels, Docker, GPUs, Java Programming, Kubernetes-K8s, Machine learning techniques, MLOps tools, Python Programming, TensorFlow

Job Description

In this role, you will be responsible for managing an existing team of 5 ML Engineers, and guiding the existing and future efforts of Applied Machine Learning for the ISML team. The team is responsible for the development and implementation of machine learning models, model retraining and refactoring, and identifying or designing new approaches and techniques to achieve successful security outcomes with partner teams. Your team will build AIML solutions for security teams that need to incorporate machine learning into their processes, services, or tooling in order to solve problems at scale.

The team will also work in tandem with our machine learning researchers to build solutions around outcomes achieved from innovative research in autonomous security. Your work will have a direct impact on enhancing security services, improving security outcomes, and fostering innovation within our organization.

Good candidates for this role will have a history of building, supporting, and developing high performing technical teams that operate at large scale within complex organizations. Candidates should be able to deal well with ambiguity to guide the team in adapting to changing conditions. They will have track record of collaborating with teams to build solutions that are high quality and performant, with a great user experience.

Day to day, you will directly support the team and their needs, while also spending significant time connecting with other teams in Information Security and Apple working on technologies, programs, or software that could benefit the solutions that you build. To fully accelerate the autonomous security program, it is important that your team identify and integrate with the tools, platforms, and resources across Apple that can be used to achieve our goals. Building a strong network across Apple is key to success in this role.

Minimum Qualifications

• Experience with running machine learning tasks on cloud compute
• Skilled in cloud technologies such as AWS or GCP, container technologies such as Docker and Kubernetes, and Microservices.
• Experience with building and running micro services using Java, Python, Go, Elixir or a similar language
• Experience with a 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
• Experience with CUDA, Torch, or TensorFlow, and production deployment of models to CUDA devices

Preferred Qualifications

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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.