Principal Offensive AI Scientist
Description For Principal Offensive AI Scientist
Microsoft Security AI Research team is seeking a Principal Applied Scientist to join their Autonomous Defense and Protection Team (ADAPT). This role focuses on enabling AI-driven capabilities for offensive security operations, combining cutting-edge AI research with practical security applications. The position offers an opportunity to work at the intersection of AI and cybersecurity, developing innovative solutions that impact billions of users worldwide.
The role involves collaborating with offensive security researchers and applied scientists to develop and validate adversarial techniques while partnering with defensive teams. You'll work with large-scale datasets, implement LLM-based systems, and create autonomous agents for security applications. The position requires expertise in machine learning, security research, and the ability to translate complex research into practical solutions.
Microsoft offers a competitive compensation package, including comprehensive benefits and the opportunity to work on critical security challenges. The company's culture emphasizes growth mindset, innovation, and excellence. This role provides a unique opportunity to shape the future of AI-driven security solutions while working with world-class researchers and security experts.
The position offers flexibility with up to 100% work from home options and competitive salary ranges varying by location. You'll be part of Microsoft's mission to make the world a safer place through innovative security solutions, working with state-of-the-art AI technologies and contributing to the development of autonomous defense systems.
Responsibilities For Principal Offensive AI Scientist
- Collaborate with security research teams to implement AI-driven techniques
- Design workflows leveraging LLMs and agentic systems
- Build and optimize data pipelines for structured and unstructured data
- Support synthetic data generation and simulation environments
- Fine-tune machine learning models for security applications
- Apply graph science methods to security data
- Define metrics for evaluating autonomous agent capabilities
Requirements For Principal Offensive AI Scientist
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with 6+ years experience
- 6+ years of experience as a machine learning engineer
- 6+ years of experience in research areas such as generative AI, reinforcement learning, graph representation learning
- 6+ years of relevant industry experience translating research into real-world impact
- 4+ years of experience with Python and machine learning frameworks
- Must pass Microsoft Cloud Background Check
- Experience with LLMs and AI agents
- Experience in security and safety domains
Benefits For Principal Offensive AI Scientist
- Medical Insurance
- Educational resources
- Product discounts
- Savings and investments
- Parental Leave
- Generous time off
- Giving programs
- Networking opportunities
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