Our team is looking for a Senior Machine Learning (ML) Engineer to join us. 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. Our focus areas include: Building AI-driven personalization engines that dynamically tailor responses, recommendations, and learning experiences based on user interactions. Developing tools that enable human-in-the-loop manual tagging, automated tagging, and signal generation to refine model quality through reinforcement learning. Delivering user analytics and predictive insights to empower multiple stakeholders: Product teams for strategic decision-making. Engineering teams to optimize AI-driven customer interactions. Developers to enhance user experiences through guided recommendations. Role Overview We are seeking a Senior Machine Learning (ML) Engineer to help drive AI personalization and intelligence for Security Copilot. In this role, you will leverage data-driven insights to refine AI models, enhance user-specific experiences, and inform product strategy. You will collaborate with engineers, product managers, and researchers to define key metrics, conduct experiments, and analyze data that shape the evolution of our platform. _Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond._ **Responsibilities** + Define and track key success metrics for AI-driven personalization, feedback loops, and model adaptation. + Analyze large-scale user interaction data to drive AI improvements and refine response quality. + Build and maintain data pipelines and dashboards for real-time model monitoring and decision-making. + Develop and deploy ML models that optimize AI-driven recommendations and personalized experiences. + Design A/B tests to evaluate feature rollouts and measure impact on user engagement. + Collaborate with engineering teams to integrate AI-driven insights into Security Copilot's core functionalities. + Communicate insights effectively to leadership and cross-functional teams using dashboards, reports, and presentations. **Qualifications** **Required/Minimum Qualifications** + Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience. **Other Requirements:** + Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.  **Additional or Preferred Qualifications** + Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience. + Experience in AI personalization, user behavior analytics, or recommender systems. Familiarity with Azure ML, Synapse, and experimentation frameworks. Background in cybersecurity, SaaS, or enterprise AI solutions. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until February 21, 2025 _\#MSFTSecurity #securitycopilot #personalization #ape_ Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .