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AI/ML Engineer (AI Systems for Security)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI/ML Engineer (AI Systems for Security): Designing AI-enhanced systems that help security researchers navigate codebases, analyze attack surfaces, and identify vulnerabilities with an accent on machine learning agents, software analysis, and production-grade security tooling. Focus on scaling and evaluating AI systems, integrating fuzzing and static analysis, and applying them across Apple’s full technology stack to defend against advanced threats.
Location: Paris, Île-de-France, France. Home office available.
Company
develops consumer hardware, operating systems, software, and services while protecting products used by billions of customers.
What you will do
- Design and develop AI-enhanced systems that help security researchers navigate large codebases and analyze complex attack surfaces.
- Build tools for identifying subtle weaknesses across silicon, microarchitecture, boot ROMs, firmware, kernels, system frameworks, browsers, and user applications.
- Track advances in fundamental and applied AI and translate relevant techniques into production-grade security tools.
- Work alongside security researchers to evaluate systems using fuzzing, static and dynamic analysis, code review, and related techniques.
- Help build software that strengthens ’s defenses against advanced threats and improves critical security processes.
Requirements
- Solid understanding of supervised, unsupervised, and reinforcement learning algorithms and evaluation methods.
- Hands-on experience designing agents and working with MCP/tools, observability, evaluations, and self-improvement loops.
- Strong software engineering and programming skills in Python, C, C++, Swift, or Objective-C.
- Collaborative problem-solving and analytical skills.
Nice to have
- Experience scaling LLM training and fine-tuning, including pretraining, supervised fine-tuning, and alignment.
- Strong interest in security.
- Familiarity with fuzzing, static analysis, code-analysis tooling, reverse engineering, and binary analysis.
Culture & Benefits
- Work with security researchers, tool developers, and machine learning experts.
- Access expert security knowledge, unique datasets, and cross-domain experience.
- Contribute to products used by customers around the world.
- promotes inclusion, accessibility, and fair treatment of applicants.
- Reasonable workplace accommodations are available for applicants.
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