Applied Scientist: Security ML & AI Systems

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Parental leave

Job summary

Amazon is seeking an Applied Scientist for AWS Security Services in New York to advance ML/AI for security analytics. You will invent and deploy models that support GuardDuty and Security Hub at scale, collaborating with engineers and security teams.

The role emphasizes rigorous experimentation, scientific reporting, and interaction with product managers to solve complex security challenges. Strong emphasis on work-life balance and career growth.

Qualifications

• PhD in computer science, machine learning, engineering, or related field.
• 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.

Responsibilities

• Invent, implement, and deploy 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 scale experiments into production services.
• Report results in a scientifically rigorous way.
• Interact with security engineers and product managers to address challenges needing innovative solutions.

Skills

Java

Python

C++

ML/AI modeling

Education

PhD in computer science / ML / engineering

Tools

TensorFlow

PyTorch

Job description

Amazon is seeking an Applied Scientist for AWS Security Services in New York to advance ML/AI for security analytics. You will invent and deploy models that support GuardDuty and Security Hub at scale, collaborating with engineers and security teams.

The role emphasizes rigorous experimentation, scientific reporting, and interaction with product managers to solve complex security challenges. Strong emphasis on work-life balance and career growth.