About the position
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The AI Personalization, Feedback, and Analytics team ensures that Security Copilot, Microsoft's GenAI platform, delivers adaptive and intelligent experiences by leveraging feedback loops, analytics, and personalization techniques.
Responsibilities
- Design and develop scalable systems that enhance user experience through tailored AI interactions and high-quality responses.
- Build AI-driven personalization engines that dynamically tailor responses, recommendations, and learning experiences based on user interactions.
- Develop tools that enable human-in-the-loop manual tagging, automated tagging, and signal generation to refine model quality through reinforcement learning.
- Deliver user analytics and predictive insights to empower product teams for strategic decision-making.
- Optimize AI-driven customer interactions for engineering teams.
- Enhance user experiences through guided recommendations for developers.
Requirements
- Proven experience in software engineering and system design.
- Strong understanding of AI and machine learning concepts.
- Experience with building scalable systems and applications.
- Ability to work collaboratively in a team environment.
- Strong problem-solving skills and a growth mindset.
Nice-to-haves
- Experience with personalization engines and user analytics.
- Familiarity with reinforcement learning techniques.
- Knowledge of security technologies and practices.
