Applied Scientist, AWS Security Services

Amazon

New York (NY)

On-site

USD 172,000 - 223,000

Full time

20 hours ago
Be an early applicant
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

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

Applied Scientist, AWS Security Services

Job ID: 10525035 | Amazon Development Center U.S., Inc.

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.

The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.

Our team also puts a high value on work-life balance. We thrive to provide a healthy balance between your personal and professional life which is crucial to your happiness and success here.

Key job 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.
Basic 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 application experience
Preferred Qualifications
  • 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 172,400.00 - 223,400.00 USD annually

Important FAQs for current Government employees

Before proceeding, please review the following FAQs

https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Applied Scientist, AWS Security Services
Applied Scientist, AWS Security Services

Socket.dev • New York (NY)

On-site
USD 172,000 - 223,000
RSUs
Benefits package
Applied Scientist, AWS Security
Applied Scientist, AWS Security

Amazon • Arlington (VA), Northern (KY)

On-site
USD 143,000 - 193,000
Applied Scientist, AWS Security
Applied Scientist, AWS Security

Amazon Web Services (AWS) • Arlington (VA)

On-site
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
+1
Applied Scientist, AWS Security
Applied Scientist, AWS Security

Amazon Science • Arlington (VA)

Hybrid
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
+3
Applied Scientist, AWS Security
Applied Scientist, AWS Security

Socket.dev • Arlington (VA)

On-site
USD 143,000 - 193,000
Senior Applied Scientist, AWS Security
Senior Applied Scientist, AWS Security

Amazon • Berwick

On-site
USD 167,000 - 227,000
Health insurance
401(k) matching
Paid time off
+1
Senior Applied Scientist, AWS Security
Senior Applied Scientist, AWS Security

Amazon Web Services (AWS) • Seattle (WA)

On-site
USD 167,000 - 226,000
Applied Scientist, AWS Science of Security
Applied Scientist, AWS Science of Security

Amazon Web Services (AWS) • Arlington (VA)

On-site
USD 143,000 - 193,000
Health insurance
Sr. Applied Scientist, AppStar Data Analytics & Engineering
Sr. Applied Scientist, AppStar Data Analytics & Engineering

Amazon Web Services (AWS) • New York (NY)

On-site
USD 184,000 - 249,000
Health insurance
401(k) matching
Paid time off
+1
Applied Scientist, Applied AI Solutions (AWS)
Applied Scientist, Applied AI Solutions (AWS)

Amazon • Seattle (WA)

On-site
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off