10 hours ago
Barcelona, Spain or Madrid, SpainMid Level
Responsibilities
- Design and develop AI-enhanced systems using large language models, agentic workflows, and machine learning for security research.
- Build practical, scalable approaches that help researchers navigate large codebases, reason about attack surfaces, and identify subtle vulnerabilities.
- Use raw data and expert behavior to develop machine learning systems that complement fuzzing, static analysis, dynamic analysis, and manual inspection.
- Collaborate with security researchers to validate and challenge innovations during real-world security evaluations.
- Analyze security challenges across Apple’s full stack, including custom silicon, microarchitectural elements, boot ROMs, firmware, kernels, system frameworks, browsers, and applications.
Requirements
- Solid understanding of supervised, unsupervised, and reinforcement learning algorithms and evaluation methods.
- Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen for multi-step, tool-augmented workflows.
- Familiarity with MLOps practices, model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow or similar.
- Strong software engineering and programming skills in languages such as Python, C, C++, Swift, or Objective-C.
- Collaborative problem-solving and analytical skills.
- Preferred: experience scaling LLM training and fine-tuning, including pretraining, SFT, and alignment.
- Preferred: enthusiasm for offensive security and familiarity with fuzzing, static analysis, code-analysis tooling, reverse engineering, or binary analysis.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.