Applied Scientist - AWS Security Services

Description

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.