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We are seeking a security researcher, who enjoys unraveling the mysteries and unique patterns of corporate computing environments and attackers techniques in Microsofts enormous scale of signals and security mechanisms, to join our Israeli research team and help provide our customers with tools to improve their security posture. The job includes performing both low level and high-level research of attackers techniques, security mechanism and controls, and data analysis over various types of telemetries.

Responsibilities include:

Analyze and research security controls, attackers techniques and anomalous patterns
Explore massive amounts of data to come up with new security posture insights, which can then be translated into security recommendations for our customers
Work together with the different engineering teams to develop the code to support the research findings
Collaborate with multiple product teams to design sensors, implement discovery & detection logics and validate their effectiveness using a data-driven approach
Collaborate with data science teams to understand and identify detection gaps, capabilities, assumptions and improvements
Collaborate with other teams across Microsoft and come up with innovative ideas which should be part of future versions of the product

If you are a talented Applied Scientist with strong technical skills, a passion for turning data and research into real-world impact, and the ambition to design, experiment, and ship innovative ML and AI solutions, we would love to talk to you!

In our team, you will:

Develop ML models to detect and disrupt cyberattacks.

Collaborate with security experts to incorporate domain knowledge into ML solutions.

Work with truly large-scale data to create and refine high-quality training datasets.

Deploy ML models into production, monitor their performance, and continuously improve them.

Stay up to date with the latest advancements in ML/AI and apply them to complex cybersecurity challenges.

We are seeking a Senior Applied Scientist to contribute to the ongoing development of Microsoft 365 Copilot in Excel, with an emphasis on optimizing LLM and Agentic workflows. This position is part of the Microsoft 365 Excel team, dedicated to pioneering advancements in generative AI. The successful candidate will possess substantial expertise in large language models (LLMs), information retrieval, and machine learning. Responsibilities include close collaboration with engineering and product teams to innovate, design, and assess comprehensive AI solutions for millions of enterprise users. This role will influence technical direction, inform product development, and foster cross-team collaboration to deliver impactful AI-driven experiences that empower users to achieve more.



Responsibilities

Youll work as part of an Applied Science team on high-impact, technically ambitious AI projects that directly shape the future of Microsoft 365 Copilot in Excel including

You will design, fine-tune, and deliver models and agentic flows for integration with Excel Agent and on-canvas experiences.
You will leverage state-of-the-art LLM fine-tuning and retrieval methods, with robust evaluation metrics and A/B testing to ensure data-driven progress.
You will gather and curate relevant benchmarks, build a comprehensive evaluation framework, and develop GPT-based evaluators (LLM-as-a-Judge). Run controlled experiments to compare performance, efficiency, and scalability using data-driven metrics and A/B testing focusing on reproducible and impactful results.
You will continuously study emerging literature, share insights with leadership and peers during research reviews and deep dives adapt quickly to new findings, and integrate them into experiments and when applicable share with broader research community.

This is a fast-paced, high-impact environment where technical depth and creative problem-solving are essential. The team is looking for a Senior Security Researcher who is passionate about cloud security and eager to contribute to Azure-wide initiatives. This role is ideal for individuals who thrive on tackling complex challenges and are committed to advancing the security posture of Microsoft Azure through research, innovation, and collaboration.
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
Uncover vulnerabilities in critical Azure services, protocols, and architecture, including networking, storage, and compute.
Provide expert security guidance to Azure teams managing high-value services with large customer bases, helping to safeguard against potential threats.
Utilize artificial intelligence tools and techniques to enhance the speed and effectiveness of security research.
Work closely with other security teams across Microsoft to maximize risk mitigation efforts throughout the technology stack.

As a Senior Software Engineer in our Edge AI group, you will design, develop, and maintain media encoding pipelines and live streaming workflows for both cloud and on-premises environments. You will build infrastructure, tools, and real-time monitoring systems that ensure reliable live video delivery and operational visibility. Your work will involve writing code that integrates with Azure resources and extensions, leveraging modern technology stacks and methodologies. You will be expected to break down complex problems, create clear execution plans, and take full ownership of your code from development through production. Collaboration within a multi-disciplinary team will be key, requiring strong communication skills and alignment with Microsoft values. In addition, you will automate quality control and alerting mechanisms to rapidly detect and resolve streaming issues, ensuring a seamless experience for customers streaming camera feeds and viewing live video alongside AI-driven insights.