Job Responsibilities:

• Apply knowledge of AI and cybersecurity to research and implement novel techniques for threat detection, mitigation, and trust enhancement.
• Drive the end-to-end research-to-prototype cycle: from ideation and literature review to proof-of-concept development and validation.
• Investigate AI-driven threats (e.g., adversarial attacks, model evasion, data leakage) and implement practical defense strategies.
• Support product-aligned teams by developing applied AI security solutions for devices, infrastructure, and services.
• Collaborate with researchers, engineers, and product leaders to integrate AI-powered security features into real-world systems.
• Maintain awareness of the latest research and technologies in security, AI, and trust, and evaluate their relevance for our innovation pipeline.
• Produce clear technical documentation and research reports for both internal and external audiences.

Minimum Requirements:

• M.Sc. in Computer Science, Cybersecurity, Data Science, or a related technical field.
• Strong understanding of AI/ML technologies and cybersecurity principles, with a passion for their intersection.
• Demonstrated experience in implementing AI-driven security solutions or applying AI to address complex security challenges.
• Proven ability to translate theoretical research into working prototypes and independently drive applied research projects.
• Strong software engineering skills (Python preferred) and familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow).
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Requirements:

• Background in adversarial machine learning, privacy-preserving ML, or trustworthiness of AI systems.
• Experience with embedded systems security, edge AI, or secure infrastructure.
• Publications, patents, or public contributions demonstrating innovation at the AI-security interface.
• Familiarity with modern deployment environments (e.g., cloud, containers, secure enclaves).