At AWS Security, we're on a mission to revolutionize how we manage security vulnerabilities at scale for host operating systems and third party software
Requirements
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
- Experience with large scale distributed systems such as Hadoop, Spark etc
- Experience with conducting research in a corporate setting
Responsibilities
- Lead research and development of generative AI solutions to address security challenges in Vulnerability Management
- Develop and implement data-driven decision frameworks to analyze patterns in the package environment and quantify the impact of security improvements on builder productivity
- Collaborate closely with cross-functional teams to integrate scientifically-validated security measures into existing workflows
- Design and conduct experiments to solve complex security problems
- Develop scalable, AI-driven solutions to efficiently respond to vulnerabilities in software packages
- Create and implement long-term strategic plans for integrating generative AI into AWS security practices
- Publish research findings in scientific venues and contribute to the broader Amazon Science community
Other
- Mentor team members and provide expertise on a range of machine learning topics related to security
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Work/Life Balance: We value work-life harmony
- Training & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer
