Senior Researcher Security & AI

Responsibilities

• Lead research at the intersection of security and AI spanning both securing AI systems and applying AI to security problems.

• Develop new techniques to protect sensitive and proprietary data in AI systems and pipelines including training post-training reinforcement learning inference and agentic workflows.

• Investigate the security of AI agents and autonomous systems including attacks arising from tool use code execution memory external data multi-agent interaction and long-running autonomous behavior and develop principled defenses against them.

• Explore how AI can help address security problems including discovering vulnerabilities and attack paths understanding complex security environments detecting attacks and anomalous behavior and developing effective defenses.

• Investigate new attacks enabled or amplified by advances in AI and develop robust defenses against them.

• Design rigorous threat models benchmarks evaluations and experimental methodologies for emerging AI security problems.

• Form hypotheses build prototypes design experiments and evaluate new security mechanisms in realistic environments.

• Pursue long-term research while identifying opportunities to translate promising ideas into practical security mechanisms.

• Publish at top-tier security systems cryptography and machine learning venues release research artifacts where appropriate and help shape the research agenda in security and AI.

• Collaborate with research and product teams across Microsoft to translate research advances into stronger security for real-world Microsoft systems.

• Mentor interns and entry level researchers and contribute to MSR Indias broader academic and research engagement.

• Embody our culture and values.

Required Qualifications

• PhD in Computer Science Computer Engineering Mathematics or a related technical field or equivalent experience.

• 1 years of software engineering or research experience.

• Strong background in one or more areas of computer security privacy cryptography computer systems or machine learning.

• Strong research track record in security cryptography systems machine learning or a closely related area.

• Demonstrated ability to conduct independent research and communicate results through publications prototypes open-source artifacts or other impactful outcomes.

• Ability to identify and formulate important research problems develop novel technical approaches and evaluate them rigorously.

• Ability to work effectively across disciplinary boundaries and collaborate with diverse research and engineering teams.

Preferred Qualifications

• Research experience in AI security security of LLMs or security of agentic systems.

• Experience with security and privacy techniques for AI training post-training inference or data pipelines.

• Experience in areas such as systems security applied cryptography privacy-enhancing technologies confidential computing access control or secure machine learning.

• Experience studying adversarial behavior software vulnerabilities attack surfaces or security of large-scale systems.

• Experience applying LLMs or other AI techniques to security problems such as vulnerability discovery security analysis attack detection or defense generation.

• Experience building and evaluating large-scale security or AI systems.

• Experience designing threat models security benchmarks adversarial evaluations or red-team methodologies for emerging systems.

• Experience working across the research-to-production boundary and translating research ideas into real-world systems.

How to Apply

Please apply using the link addition please send an email to the Hiring Committee at .