Apple · 6 hours ago
Machine Learning Engineer, Information Security
Apple is redefining cybersecurity through data-driven intelligence by seeking a highly motivated Machine Learning Engineer to join their Information Security Machine Learning (ISML) team. The role involves designing, developing, and deploying machine learning models to enhance security products and services, addressing complex security challenges through collaboration with cross-functional teams.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Design, develop, and deploy machine learning models for security use cases
Translate research to design, building and deploying machine learning models
Collaborate with cross-functional teams including security teams, software engineers, and researchers to prototype and scale AI/ML driven security solutions
Own end-to-end ML workflows: data exploration, model development, evaluation metrics design, deployment, and monitoring
Qualification
Required
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 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, with the ability to present technical concepts clearly to varied audiences
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
Preferred
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, deep learning (CNNs, RNNs, LSTMs), and large language models
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
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase