Join Apple's Information Security Machine Learning (ISML) team as a Machine Learning Engineer, where you will help redefine cybersecurity through data-driven intelligence. Your role will involve designing, developing, and deploying machine learning models that enhance security products and services. You will contribute to the Autonomous Security program by creating production-ready AI/ML systems. This position offers an opportunity to make a significant impact by building intelligent systems that proactively detect and prevent advanced threats.

• BSc or Masters degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or related field.
• Strong programming skills in Python and Scala.
• Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, and Scikit-learn.
• Hands-on experience with the full ML model lifecycle, from experimentation to deployment and monitoring.
• Solid grasp of security fundamentals including network security, incident response, threat modeling, and vulnerability management.
• Excellent written and verbal communication skills.
• Familiarity with CI/CD workflows and ML pipelines.
• Experience operating and scaling production services in cloud native environments.
• Experience deploying models on CUDA devices using tools like TensorFlow or Torch.
• Proven experience building generative AI applications for real-world use cases.
• Ph.D. in a technical field such as Computer Science, Engineering, Statistics, or related disciplines.
• In-depth knowledge of ML algorithms, including supervised/unsupervised learning and deep learning.
• Industry experience in deploying ML and generative AI solutions in cybersecurity contexts.
• Familiarity with cloud platforms (e.g., AWS, GCP) and their security offerings is a plus.
• Experience with large scale data processing and analysis using tools such as Apache Spark.
• Experience working in a key security process, such as Incident Response, Threat Intelligence, or Vulnerability Management.
• Experience with specific security tools and technologies (e.g., SIEM, IDS/IPS, endpoint security solutions).
• Contributions to open-source security or machine learning projects.
• Publications or talks at top-tier ML or security conferences.
• Additional proficiency in C++ or Swift is a plus.

• Design, develop, and deploy machine learning models for security use cases.
• Translate research into practical applications for security challenges.
• Collaborate with cross-functional teams including security teams, software engineers, and researchers.
• Own end-to-end ML workflows including data exploration, model development, evaluation metrics design, deployment, and monitoring.
• Leverage generative AI, statistical modeling, reinforcement learning, and data science to address complex security challenges.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.