
About Apple
The personal technology company redefining user experience
Key Highlights
- Market cap of $3 trillion as of 2022
- Over 1 billion active devices worldwide
- Comprehensive medical plans including mental healthcare
- Paid parental leave and gradual return-to-work program
Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...
🎁 Benefits
Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...
🌟 Culture
Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...
Skills & Technologies
Overview
Apple is hiring a macOS ML Engineer to develop and deploy high-performance applications for autonomous security on Apple devices. You'll work with machine learning and macOS technologies in Austin. This role requires a deep understanding of the macOS environment.
Job Description
Who you are
You have a strong background in macOS development and a deep understanding of the macOS environment — you've successfully built and deployed high-performance applications that leverage machine learning to enhance security features. Your experience includes working with machine learning frameworks and integrating them into existing systems, ensuring that security measures are both effective and efficient.
You are skilled in Python and have experience with machine learning algorithms — you understand how to harness data patterns to predict and respond to security threats. Your ability to collaborate with cross-functional teams, including Core OS and security partners, allows you to deliver high reliability and performance in your projects.
You are passionate about security and technology — you stay updated on the latest trends in machine learning and security practices, and you are eager to apply cutting-edge research to real-world applications. Your problem-solving skills enable you to tackle complex challenges in developing autonomous security solutions.
Desirable
Experience with Apple's Neural Engine or GPU technologies is a plus, as is familiarity with security frameworks and protocols. You are also encouraged to apply if you have a background in data science or applied science, as this will enhance your contributions to the team.
What you'll do
As a macOS ML Engineer, you will be responsible for building the foundational software, libraries, tools, and test suites that support autonomous security on Apple devices. You will develop software and integrations that make on-device security machine learning successful, defining the architectures and services that enable autonomous security capabilities.
You will collaborate closely with various teams across Apple, including Core OS and security partners, to ensure that the frameworks and services you develop are reliable and high-performing. Your role will involve adapting intelligence, models, and research developed by the team to run effectively on macOS, contributing to the overall security posture of Apple devices.
You will also be involved in the deployment of machine learning models and infrastructure, ensuring that they are optimized for performance and security. Your work will directly impact the way Apple protects its users, transforming reactive security measures into proactive, autonomous solutions.
What we offer
Apple offers a dynamic work environment where innovation is at the forefront. You will have the opportunity to work with some of the brightest minds in the industry, contributing to projects that have a significant impact on user security. We provide competitive compensation and benefits, along with opportunities for professional growth and development.
Join us in our mission to revolutionize security services through machine learning, and be part of a team that is dedicated to creating a safer digital environment for all Apple users.
Interested in this role?
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