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.
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Description
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.
Minimum Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field.
- 3+ years of experience developing system software, services, applications, or frameworks for macOS.
- Proficiency in Objective-C, Objective-C++, C, or C++.
- Proficiency in Python and/or Swift, with strong debugging and performance optimization skills.
- Strong understanding of software engineering principles and best practices, including testing and debugging.
- Demonstrated experience delivering high reliability or high performance software.
- Experience with ML systems and infrastructure
- Demonstrated experience working cross-organization
Preferred Qualifications
- Experience building libraries and tools for Desktop, Mobile, or Embedded Apple OSes.
- Experience developing system software, services, applications, or frameworks for Linux
- Experience with continuous software monitoring and distributed systems.
- Experience with endpoint sensing, telemetry, or on-device stream processing.
- Low-level experience on one or more OS platforms (kernel interactions, network interactions, eBPF, XProtect are a plus).
- Experience with embedded devices or headless devices.
- Understanding of MLOps practices including model validation, versioning, monitoring, and deployment in high-security environments.
- Background in cybersecurity, malware analysis, digital forensics, or red/blue teaming.
- Experience with CoreML, including porting models to run on macOS, utilizing the CoreML runtime, and deploying models using the Neural Engine or GPU.
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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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