MacOS Machine Learning Engineer
3 Months ago • All levels • $166,600 PA - $250,600 PA
Research Development
Job Description
The Information Security Machine Learning (ISML) team at Apple is seeking a skilled macOS engineer to develop autonomous security solutions on Apple devices. This role involves building foundational software, libraries, tools, and test suites for on-device security machine learning. You will define architectures for autonomous security, including OS interfaces, sensing capabilities, and ML scaffolding. Collaboration with various Apple teams is crucial for delivering high-reliability, high-performance device frameworks. The position requires adapting intelligence and models for macOS, balancing privacy, rigor, visibility, performance, and impact. Responsibilities include designing, building, testing, and monitoring Software Development Life Cycle pipelines for autonomous security.
Must Have:
- Deep understanding of macOS environment
- Develop and deploy high-performance applications
- Build foundational software for autonomous security
- Develop software for on-device security ML
- Define architectures for autonomous security
- Collaborate with Core OS, security, and services partners
- Adapt intelligence and models for macOS
- Balance privacy, rigor, visibility, performance, impact
- Skills in macOS development best-practices
- Systems and software engineering skills
- Embedded systems development knowledge
- Design, build, test, and monitor SDLC pipelines
- Use Apple internal tools and cloud platforms
- Test and deploy software and ML models
- Function as a production engineer for deployed components
The Information Security Machine Learning (ISML) team is revolutionizing Apple’s security services by using machine learning to harness patterns and insights from vast amounts of data to predict, detect, and respond to threats; transforming reactive security into autonomous protection. The ISML team is responsible for improving security services with applied science, developing long term autonomous security solutions with cutting edge research, as well as building and deploying models and infrastructure to support machine learning security solutions. We're looking for a passionate and highly skilled macOS engineer to join our team and build the foundation for autonomous security on Apple devices. This role requires a deep understanding of the macOS environment and a proven ability to develop and deploy high-performance applications.
As a MacOS ML Engineer, you will build the fundamental software, libraries, tools, and test suites to support autonomous security on Apple devices. You will develop the software and integrations to make on device security machine learning successful. As part of this process, you will define the architectures and services of autonomous security on-device, including OS interfaces, sensing capabilities, ML scaffolding, and autonomous security capabilities. You will collaborate with Core OS, security, and services partners across Apple to deliver high reliability, high performance device frameworks and services. You will adapt the intelligence, models, and research developed by the team to run on macOS. Development and deployment of autonomous security on macOS needs to balance privacy, rigor, visibility, performance, and impact. In this role, you need to have skills and knowledge across a blend of macOS development best-practices, systems and software engineering, and embedded systems development. You will design, build, test and monitor the pipelines for the Software Development Life Cycle of autonomous security on Apple devices. Day to day, you will use Apple internal tools and 3p cloud and platforms and local hardware to test and deploy software, frameworks, and ML models to target current macOS and future macOS releases. During early experimentation, deployment, and upscaling, you will also function as a production engineer for deployed components.
As a MacOS ML Engineer, you will build the fundamental software, libraries, tools, and test suites to support autonomous security on Apple devices. You will develop the software and integrations to make on device security machine learning successful. As part of this process, you will define the architectures and services of autonomous security on-device, including OS interfaces, sensing capabilities, ML scaffolding, and autonomous security capabilities. You will collaborate with Core OS, security, and services partners across Apple to deliver high reliability, high performance device frameworks and services. You will adapt the intelligence, models, and research developed by the team to run on macOS. Development and deployment of autonomous security on macOS needs to balance privacy, rigor, visibility, performance, and impact. In this role, you need to have skills and knowledge across a blend of macOS development best-practices, systems and software engineering, and embedded systems development. You will design, build, test and monitor the pipelines for the Software Development Life Cycle of autonomous security on Apple devices. Day to day, you will use Apple internal tools and 3p cloud and platforms and local hardware to test and deploy software, frameworks, and ML models to target current macOS and future macOS releases. During early experimentation, deployment, and upscaling, you will also function as a production engineer for deployed components.
Set alerts for more jobs like MacOS Machine Learning Engineer
Set alerts for new jobs by Apple
Set alerts for new Research Development jobs in United States
Set alerts for new jobs in United States
Set alerts for Research Development (Remote) jobs
