Senior Security Researcher - Security for AI
Microsoft
Senior Security Researcher - Security for AI
Job Description
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 team builds and operates the large-scale AI training and adaptation engines that power Microsoft Security products, turning cutting-edge research into dependable, production-ready capabilities. As a Senior Security Researcher - Security for AI, you will lead end-to-end model development for security scenarios, including privacy-aware data curation, continual pretraining, task-focused fine-tuning, reinforcement learning, and rigorous evaluation. You will deepen model reasoning and tool-use skills, and embed responsible AI and compliance into every stage of the workflow. The role is hands-on and impact-focused, partnering closely with engineering and product to translate innovations into shipped experiences, designing objective benchmarks and quality gates, and mentoring scientists and engineers to scale results across globally distributed teams. You will combine strong coding and experimentation with a systems mindset to accelerate iteration cycles, improve throughput and reliability, and help shape the next generation of secure, trustworthy AI for our customers. 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.
Locations
- Multiple Locations, Multiple Locations, United States, Multiple Locations, Multiple Locations, United States
Salary
Estimated Salary Rangehigh confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Master's Degree in Statistics, Mathematics, Computer Science or related fieldOR 5+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. (degree)
- OR 5+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. (degree)
- Experience with privacy preserving ML including differential privacy concepts, privacy risk assessment, and utility measurement on privatized data. (degree)
- Proven track record of building and training large language models or multimodal models for production scenarios, including continual pretraining and task specific adaptation. (degree)
- Doctorate in Statistics, Mathematics, Computer Science or related field OR 6+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. (degree)
Preferred Qualifications
- Doctorate in Statistics, Mathematics, Computer Science or related field OR 6+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. (degree)
Responsibilities
- Identifies, prioritizes, and targets complex security issues that cause negative impact to customers. Creates and drives adoption of relevant mitigations. Suggests and drives appropriate guidance, models, response, and remediation for issues. Drives program and process of mitigation (e.g., automation).
- Effectively manages multiple workstreams and resources during incidents, applies diagnostic expertise, provides guidance to other engineers working to mitigate and resolve issues, and maintains a commitment to the quality of products and services throughout the lifecycle. Ensures proper notes from incidents are documented and drives the execution of quality postmortem and root cause analysis processes across teams. Performs analysis of historical incident data to identify trends, patterns, and issues that should be addressed at high priority.
- Uses business knowledge and technical expertise to assist with analyzing the work of the team to identify potential tools to assist future vulnerability analyses. Helps define deployment best practices and security configuration standards to ensure technologies are deployed in a secure fashion. Researches and maintains deep knowledge of industry trends, technologies, tools, securities, and advances.Uses subject matter expertise to identify potential security issues, tools, mitigations, and processes (e.g., architecture, failure modes, attack chain, threat modeling, vulnerabilities). Stays current in knowledge and expertise as security landscape evolves. Makes expertise available to others and drives change through sharing, coaching, conferences, and other means. Coaches and mentors others in area of expertise. Models appropriate risk taking and ethical behavior.
Travel Requirements
3 days / week in-office
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Senior Security Researcher - Security for AI
Microsoft
Senior Security Researcher - Security for AI
Job Description
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 team builds and operates the large-scale AI training and adaptation engines that power Microsoft Security products, turning cutting-edge research into dependable, production-ready capabilities. As a Senior Security Researcher - Security for AI, you will lead end-to-end model development for security scenarios, including privacy-aware data curation, continual pretraining, task-focused fine-tuning, reinforcement learning, and rigorous evaluation. You will deepen model reasoning and tool-use skills, and embed responsible AI and compliance into every stage of the workflow. The role is hands-on and impact-focused, partnering closely with engineering and product to translate innovations into shipped experiences, designing objective benchmarks and quality gates, and mentoring scientists and engineers to scale results across globally distributed teams. You will combine strong coding and experimentation with a systems mindset to accelerate iteration cycles, improve throughput and reliability, and help shape the next generation of secure, trustworthy AI for our customers. 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.
Locations
- Multiple Locations, Multiple Locations, United States, Multiple Locations, Multiple Locations, United States
Salary
Estimated Salary Rangehigh confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Master's Degree in Statistics, Mathematics, Computer Science or related fieldOR 5+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. (degree)
- OR 5+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. (degree)
- Experience with privacy preserving ML including differential privacy concepts, privacy risk assessment, and utility measurement on privatized data. (degree)
- Proven track record of building and training large language models or multimodal models for production scenarios, including continual pretraining and task specific adaptation. (degree)
- Doctorate in Statistics, Mathematics, Computer Science or related field OR 6+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. (degree)
Preferred Qualifications
- Doctorate in Statistics, Mathematics, Computer Science or related field OR 6+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection. (degree)
Responsibilities
- Identifies, prioritizes, and targets complex security issues that cause negative impact to customers. Creates and drives adoption of relevant mitigations. Suggests and drives appropriate guidance, models, response, and remediation for issues. Drives program and process of mitigation (e.g., automation).
- Effectively manages multiple workstreams and resources during incidents, applies diagnostic expertise, provides guidance to other engineers working to mitigate and resolve issues, and maintains a commitment to the quality of products and services throughout the lifecycle. Ensures proper notes from incidents are documented and drives the execution of quality postmortem and root cause analysis processes across teams. Performs analysis of historical incident data to identify trends, patterns, and issues that should be addressed at high priority.
- Uses business knowledge and technical expertise to assist with analyzing the work of the team to identify potential tools to assist future vulnerability analyses. Helps define deployment best practices and security configuration standards to ensure technologies are deployed in a secure fashion. Researches and maintains deep knowledge of industry trends, technologies, tools, securities, and advances.Uses subject matter expertise to identify potential security issues, tools, mitigations, and processes (e.g., architecture, failure modes, attack chain, threat modeling, vulnerabilities). Stays current in knowledge and expertise as security landscape evolves. Makes expertise available to others and drives change through sharing, coaching, conferences, and other means. Coaches and mentors others in area of expertise. Models appropriate risk taking and ethical behavior.
Travel Requirements
3 days / week in-office
Answer 10 quick questions to check your fit for Senior Security Researcher - Security for AI @ Microsoft.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs