> Markdown version of [/jobs/ext/97625-machine-learning-engineer-information-security](https://www.wearedevelopers.com/jobs/ext/97625-machine-learning-engineer-information-security). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, Information Security - **Company:** Apple Inc. - **Location:** Seattle, WA, United States - **Salary:** $139,500.0 - $258,100.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, C++ (Programming Language), Cloud Computing, Cyber Security, Nvidia CUDA, Computer Programming, Continuous Integration, Intrusion Detection Systems, Python (Programming Language), Network Security, Machine Learning, Open Source Technology, Cloud Services, Tensorflow, Security Information and Event Management, Software Vulnerability Management, Cloud Platform System, Pytorch, Large Language Models, Apache Spark, Deep Learning, Generative AI, Cyber Threat Analysis, Scikit Learn, Information Technology, HuggingFace, Data Analytics, Machine Learning Operations, Unsupervised Learning - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=82fa6c2658ec9bb0 ## About the Role Do you have experience in Vulnerability management?, Do you have a Master's degree?, 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. We are seeking a highly motivated and talented Machine Learning Engineer to join our dynamic and growing team. You will play a pivotal role in designing, developing, and deploying machine learning models that power our advanced security products and services. 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., 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 Minimum Qualifications 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. ## Description The Security ML Engineer will bring their expertise in machine learning to the problems and opportunities facing Information Security at Apple. You will contribute to the Autonomous Security program by developing production ready AI/ML systems using Apple's internal platforms, cloud services, and local compute environments. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Machine Learning: Promising, but Perilous](https://www.wearedevelopers.com/videos/627-machine-learning-promising-but-perilous) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [A hundred ways to wreck your AI - the (in)security of machine learning systems](https://www.wearedevelopers.com/videos/715-a-hundred-ways-to-wreck-your-ai-the-in-security-of-machine-learning-systems) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)