About the job
Amazon Web Services is looking for world class scientists to join the Security Analytics and AI Research team within AWS Security Services. This group is entrusted with researching and developing core ML and AI solutions for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Security Hub (https://aws.amazon.com/security-hub/). In this group, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale ML/AI problems and/or agentic systems, this will be an exciting opportunity.
Responsibilities
- Invent, implement, and deploy state of the art ML/AI algorithms and systems for information security applications.
- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.
- Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.
- Report results in a scientifically rigorous way.
- Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.
Qualifications
Minimum
- PhD in computer science, machine learning, engineering, or related fields
- 2+ years of hands-on predictive modeling and large data analysis experience
- 2+ years of programming in Java, C++, Python or related language experience
- 2+ years of building machine learning models or developing algorithms for business application experience
Preferred
- 5+ years of hands-on predictive modeling and large data analysis experience
- PhD, or a PhD or equivalent research experience and experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
- Extensive experience applying theoretical models in an applied environment.
- Domain experience with threat detection techniques
- Track record of developing novel algorithms to help detect stealthy zero-day attacks