Applied ML Security Engineer: Offensive ML for Defenses

Apple; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Apple is seeking an Applied Machine Learning Engineer to enhance security across its platforms. This role involves integrating with security research teams to analyze complex systems and designing ML-enhanced methods for security evaluations. Strong expertise in ML, especially in large language models, along with enthusiasm for security is required. The position is based in Paris, offering a collaborative environment that values diversity and accessibility.

Qualifications

• Expertise in ML, especially large language models and generative modeling.
• Experience with and/or strong enthusiasm for security, especially offensive security.
• Fluency with software engineering using languages such as C, C++, Python, Swift, Objective-C, Rust.
• Collaborative and effective problem-solving and analytical skills.

Responsabilités

• Integrate with security research teams to analyze complex systems.
• Design and develop ML-enhanced systems for security analysis.
• Collaborate with security researchers to validate innovations.

Connaissances

Expertise in ML

Security enthusiasm

Fluency in C

Fluency in C++

Fluency in Python

Fluency in Swift

Fluency in Objective-C

Fluency in Rust

Collaborative problem-solving

Analytical skills

Outils

Fuzzing

Static analysis

Code-analysis tooling

Reverse engineering

Binary-analysis

Description du poste

Apple is seeking an Applied Machine Learning Engineer to enhance security across its platforms. This role involves integrating with security research teams to analyze complex systems and designing ML-enhanced methods for security evaluations. Strong expertise in ML, especially in large language models, along with enthusiasm for security is required. The position is based in Paris, offering a collaborative environment that values diversity and accessibility.