R&D Manager

5 days ago

Singapore INFINITY CYBERSEC PTE. LTD. Full time

Role Overview As the R&D Manager - AI & Cybersecurity, you will lead the development and innovation of advanced AI-driven cybersecurity solutions designed to protect enterprise and cloud infrastructures from evolving cyber threats. This is a leadership role at the intersection of artificial intelligence, security engineering, and research, offering the opportunity to shape next-generation defense technologies. You will manage a multidisciplinary team of researchers and engineers, driving projects from conceptual research through to real-world deployment. Key Responsibilities Lead and manage R&D initiatives focused on AI-powered cybersecurity systems, including anomaly detection, threat simulation, and vulnerability analysis. Drive the design and optimization of machine learning and deep learning models tailored to adversarial scenarios and cybersecurity use cases. Oversee the development of behavioral analytics, graph-based threat modeling, and intelligent automation frameworks. Guide red/blue team exercises and the creation of autonomous agents for continuous threat emulation. Collaborate closely with engineering, product, and executive teams to align R&D output with commercial product strategies. Contribute to technical roadmaps and ensure timely delivery of high-impact solutions. Represent the organization at conferences, technical forums, and in peer-reviewed publications. Requirements Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, or a related discipline. Proven track record (5+ years) in leading R&D or advanced technical teams, particularly in AI and/or cybersecurity domains. Hands-on expertise in Python, with additional experience in Go, C++, or JavaScript considered a plus. Strong understanding and practical experience in one or more of the following: Vulnerability research (fuzzing, binary analysis, static/dynamic analysis)Penetration testing or red/blue team operations Machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn Behavioral modeling or graph-based security inference (e.g., GNNs) Familiarity with cloud security models, Zero Trust architectures, and adversarial defense strategies. Experience with modern DevSecOps workflows and major cloud platforms (AWS, Azure, GCP, or Alibaba Cloud). Excellent leadership, collaboration, and problem-solving skills. Preferred Qualifications Publications or open-source contributions in AI security, adversarial ML, or cybersecurity tooling. Recognized certifications such as CISSP, CISA, OSCP, or RHCE. Experience in productizing AI-based cybersecurity solutions. Strong communication and stakeholder engagement skills, with prior international conference participation being advantageous. What We Offer Lead pioneering work at the forefront of AI and cybersecurity innovation. Work with a globally recognized team of experts and gain access to world-class mentorship. Flexible and international work environment with hybrid or remote arrangements. Attractive compensation package, including stock options. Opportunities for global conference participation, ongoing training, and professional growth.

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