Security Machine Learning Engineer, Information Security

Join Apple's Information Security Machine Learning (ISML) team, where we are redefining cybersecurity through data-driven intelligence. Our mission is to transform traditional reactive security measures into autonomous systems that proactively detect and defend against threats. We achieve this through cutting-edge research, applied science, and robust infrastructure development.

As a Security Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying machine learning models that power our advanced security products and services. You will translate research to design, building and deploying machine learning models for security use cases, leveraging generative AI, statistical modeling, reinforcement learning, and data science to address complex security challenges.

The role involves collaborating with cross-functional teams including security teams, software engineers, and researchers to prototype and scale AI/ML driven security solutions. You will own end-to-end ML workflows: data exploration, model development, evaluation metrics design, deployment, and monitoring.

The position offers competitive compensation between $175,800 and $264,200, along with comprehensive benefits including medical, dental, and vision coverage, retirement benefits, stock programs, and educational reimbursement opportunities. This is an incredible opportunity to make a real world impact by building intelligent systems that detect and prevent advanced threats, enhance critical security processes, and protect Apple and our customers.