Sr. Applied Scientist, Enterprise Security Products

What happens when you combine startup speed with Amazon-scale innovation and impact You get this team. Amazon Enterprise Security Products is a newly launched group building intelligent cloud-agnostic security tools using AI-first development practices. Here you dont just publish papers about whats possible you ship it to production and watch it protect real customers. This role offers a rare opportunity to define the scientific direction of a greenfield security portfolio where agentic AI foundation models and novel ML approaches arent future bets theyre what were building right now. Its a chance to shape the future of security tooling with a small fast team that researches like a lab and deploys like Amazon.

Key job responsibilities
* Set the science vision: Define a multi-year science roadmap for AI-powered security products. Identify where foundation models agentic systems and emerging ML techniques can fundamentally change how we detect prevent and respond to threats protecting Amazon Business customers.
* Invent and build end to end: Design and personally develop novel ML solutions from agentic architectures and RAG systems to anomaly detection and behavior modeling. You wont hand off prototypes; youll partner with engineers and PMs to ship them into production.
* Tackle scientifically ambiguous problems: Translate messy open-ended security challenges into well-defined scientific problems. Own the critical novelty in our systems and provide system-wide design guidance.
* Experiment with rigor and speed: Design and run offline and online experiments to validate ideas quickly. Make data-driven calls on what ships what iterates and what gets killed.
* Push the frontier: Stay ahead of advancements in foundation models agentic AI and applied ML. Evaluate emerging capabilities and make strategic build-vs-buy decisions. Publish your work at top conferences when it advances the field.
* Influence across the org: Partner with security researchers engineers product managers and UX designers to turn customer needs into technical strategy. Communicate complex scientific ideas clearly to both technical and executive audiences.
* Raise the bar: Mentor applied scientists and engineers establish scientific review practices and set the standard for how this team does science. This is a ground-floor opportunity to shape the culture.
* Innovate with urgency: Prototype rapidly validate with customers and iterate. Bring a builder-scientist mindset to an environment where the best idea wins.

A day in the life
You lead from the front on a startup-paced AI-first development team. One moment youre whiteboarding a new agentic detection architecture with principal engineers the next youre deep in a notebook training a model or analyzing experiment results. You author science vision docs drive design reviews and unblock your team when the problem space gets murky. You dont just track the latest in AI you decide whats worth betting on and lead the team in making those bets real. Every day youre advancing the science and advancing the product.

About the team
Amazon Enterprise Security Products is built by builders who tackle challenges others might consider too ambitious. Were a small team where there are no layers between you and the decision no waiting quarters to see your work reach customers. Every team member brings an owners mentality. If theres a problem worth solving we solve it. No mission is beyond reach no detail beneath our attention. We move fast we ship fast and we learn from what we ship. This is where builders who want to make the impossible routine come to do their best work.

Diverse 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.

- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience communicating complex ideas to technical and non-technical audiences

- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience with training and deploying machine learning systems to solve large-scale optimizations or experience with software development lifecycle
- Experience with vLLM SGLang TensorRT or similar platforms in production environments or experience designing or architecting (design patterns reliability and scaling) of new and existing systems
- Experience with any combination of the following: application security frameworks identity and access controls incident response mobile security cloud computing and security AI security threat intelligence and penetration testing
- Experience leading mentoring and growing teams of scientists (teams of five or more scientists)

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 TX Austin - 167100.00 - 226100.00 USD annually