Senior Applied Scientist, AWS Security

Do you have a passion for GenAI machine learning and/or cybersecurity! If so join us in building innovative AI/ML services that protect our cloud from advanced security threats!

As a Senior Applied Scientist on our team youll analyze data using GenAI and other AI/ML techniques to build new services that detect and automate the mitigation of cybersecurity threats across Amazons infrastructure including advanced persistent threats. Youll work with software development engineers security engineers and other applied scientists across multiple teams to develop innovative security solutions at a massive scale. Our services protect the AWS cloud for all customers helping preserve our customers trust in us. Youll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer both internally and externally from security threats not many teams can say that!

A successful candidate is one who is passionate about utilizing big data machine learning and GenAI to solve real business problems. This role gives you the opportunity to lead technical innovation and drive the future direction of automation within threat detection and mitigation. Candidates are expected to have a track record of delivering high-quality results in a fast-moving environment. We need someone whos comfortable mentoring leading by example and independently delivering.

We have a team culture that encourages innovation and for every team member to have a high degree of ownership for their program vision and execution of ideas. Were looking for someone who is enthusiastic empathetic curious motivated reliable and able to work effectively with a diverse team of peers and partner teams. We want someone who will help us amplify the positive and inclusive team culture weve been building.

Key job responsibilities
- Design build and deploy AI/ML systems that process threat data at scale running over petabyte-scale security logs with real-time inference
- Conduct thorough data analyses and develop prototypes for detecting otherwise-unknown security problems
- Independently frame ambiguous problems and then define and deliver a research agenda with limited guidance
- Seek out develop and advocate for new technologies to solve scientifically-complex security problems
- Build consensus on scientific approaches balancing analytic rigor with the operational urgency inherent to security
- Mentor and develop teammates both technically and professionally
- Publish patents and peer-reviewed articles and present your research both internally and externally

About the team
This team is part of the larger Amazon Active Defense organization focused on bringing automation at scale to AWS Security. Teams within Amazon Active Defense consist of security engineers data/applied scientists and software developers all working together to launch big data analytics able to automatically detect and mitigate threats within AWS in near-real-time. This team in particular is focused on both detecting and automatically stopping advanced actor activities in internal AWS resources.

Review these blogs for example past projects you could have led!
- Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.

Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.

Training & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing training and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

- PhD or Masters degree and 6 years of applied research experience
- Experience leading engineering teams as a mentor or tech lead
- 3 years of non-internship experience building machine learning models for business applications
- Experience deploying AI/ML models into production systems with direct verified customer impact
- Non-internship experience of programming and/or scripting to solve real-world problems (e.g. in Python)

- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience using AI/ML to solve problems in cybersecurity fraud or related areas
- Experience building and deploying new GenAI applications
- Experience with AWS or other cloud services (e.g. SageMaker Bedrock EMR Glue Lambda S3 etc.)

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 167100.00 - 226100.00 USD annually