Security AI Scientist — ML for Cloud Defense

Socket.dev; New York (NY); On-site; USD 172,000 - 223,000; Full time

Benefits offered by this job

RSUs

Benefits package

Job summary

Amazon Web Services is seeking world-class scientists to join the Security Analytics and AI Research team within AWS Security Services. You will invent and implement innovative ML/AI solutions for GuardDuty, Security Hub, and other security services, solving never-before-solved problems at scale.

The team emphasizes work-life balance and collaboration with security researchers and engineers to deploy production-grade systems. A strong background in ML/AI and security is essential for success.

Qualifications

• 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 applications.

Responsibilities

• Invent, implement, and deploy state of the art ML/AI algorithms and systems for information security applications.
• Rapidly design, prototype and test hypotheses in a high-ambiguity environment using quantitative and business judgment.
• Collaborate with software engineering teams to integrate experiments into production services.

Skills

Predictive modeling

Large data analysis

ML algorithms

Java/C++/Python

Communication

Education

PhD in CS/ML/Engineering

PhD or equivalent research experience

Tools

Java

C++

Python

Job description

Amazon Web Services is seeking world-class scientists to join the Security Analytics and AI Research team within AWS Security Services. You will invent and implement innovative ML/AI solutions for GuardDuty, Security Hub, and other security services, solving never-before-solved problems at scale.

The team emphasizes work-life balance and collaboration with security researchers and engineers to deploy production-grade systems. A strong background in ML/AI and security is essential for success.