Applied Machine Learning Engineer - Security Offense Innovator

Apple Inc.; Paris; Sur place; EUR 90 000 - 150 000; Plein temps

Résumé du poste

Apple Inc. Security Engineering & Architecture seeks an Applied Machine Learning Engineer to invent and deliver new ML methods for safeguarding Apple products.

You will join a group of security researchers and tool developers tasked with discovering vulnerabilities and strengthening defenses across iOS, macOS, and services. The role combines full-stack security insights with hands-on ML, data-driven experimentation, and collaboration with cross-domain experts to protect billions of users

Qualifications

• Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning) and evaluation methods.
• Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen to build multi-step, tool-augmented agent workflows.
• Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow or similar.
• Strong software engineering and programming skills in languages like Python, C, C++, Swift, Objective-C.
• Collaborative and effective problem-solving and analytical skills.

Connaissances

Machine Learning

Python

C/C++/Swift/Objective-C

LangChain/LlamaIndex/AutoGen

MLOps

Outils

MLflow

Description du poste

Apple Inc. Security Engineering & Architecture seeks an Applied Machine Learning Engineer to invent and deliver new ML methods for safeguarding Apple products.

You will join a group of security researchers and tool developers tasked with discovering vulnerabilities and strengthening defenses across iOS, macOS, and services. The role combines full-stack security insights with hands-on ML, data-driven experimentation, and collaboration with cross-domain experts to protect billions of users