Associate ML Security Engineer
Location
Remote (Poland/Ukraine)
Type
Internship
Department
Security
What You’ll Achieve
AI/ML Security Assessment: Conduct comprehensive security assessments of AI/ML pipelines, tools, and frameworks. Examine vulnerabilities in model architectures, training processes, and deployment infrastructure while developing mitigation strategies.
AI/ML Security Controls: Design and develop security frameworks and tools specifically for AI/ML systems, including model robustness testing, data poisoning detection, and protection against adversarial attacks.
Application Security Assessment: Conduct security assessments of client code bases using a combination of static analysis, dynamic testing, and manual code review, identifying vulnerabilities and developing mitigation strategies, with a focus on findings at the intersection of application security and AI/ML security.
AI/ML Threat Modeling: Conduct threat modeling and risk assessments to proactively identify potential risks for clients and develop mitigation strategies for future prevention.
AI Policy & Compliance Initiatives: Develop and contribute to AI/ML regulatory frameworks, establishing assurance methods and auditing processes for mission-critical AI applications while ensuring alignment with emerging industry standards and safety requirements.
What You’ll Bring
AI/ML Security Expertise: Extensive experience in AI/ML security, with demonstrated ability to identify and mitigate ML-specific vulnerabilities across complex systems.
Technical AI/ML Knowledge: Deep understanding of AI/ML architectures, frameworks (PyTorch, Jax, LangChain, RAG systems, etc.), and MLOps practices, combined with robust security engineering expertise.
Assessment Experience: Have conducted technical security assessments of AI/ML systems and implemented effective security measures.
Tool Proficiency: Strong background in AI/ML development languages (Python, C, C++, Typescript, JavaScript, Rust) and security testing frameworks, with experience in developing and applying ML-specific security tools.
Communication Skills: Ability to effectively communicate complex AI/ML security concepts to diverse stakeholders and deliver clear, actionable recommendations.
What we offer
AI/ML Security Expertise: Extensive experience in AI/ML security, with demonstrated ability to identify and mitigate ML-specific vulnerabilities across complex systems.
Technical AI/ML Knowledge: Deep understanding of AI/ML architectures, frameworks (PyTorch, Jax, LangChain, RAG systems, etc.), and MLOps practices, combined with robust security engineering expertise.
Assessment Experience: Have conducted technical security assessments of AI/ML systems and implemented effective security measures.
Tool Proficiency: Strong background in AI/ML development languages (Python, C, C++, Typescript, JavaScript, Rust) and security testing frameworks, with experience in developing and applying ML-specific security tools.
Communication Skills: Ability to effectively communicate complex AI/ML security concepts to diverse stakeholders and deliver clear, actionable recommendations.