Microsoft Security aims to make the world a safer place by reshaping security and empowering every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions.
Requirements
- Experience with privacy preserving ML including differential privacy concepts, privacy risk assessment, and utility measurement on privatized data.
- Proven track record of building and training large language models or multimodal models for production scenarios, including continual pretraining and task specific adaptation.
- Master's Degree in Statistics, Mathematics, Computer Science or related field
- 5+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection.
- 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.
- Knowledge of industry trends, technologies, tools, securities, and advances.
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.
- 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.
Other
- Master's Degree in Statistics, Mathematics, Computer Science or related field
- Ability to meet Microsoft, customer and/or government security screening requirements
- Microsoft Cloud Background Check
- 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.
- 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.
