Senior Applied Scientist, Security Issue Management

We are open to hiring candidates to work out of one of the following locations:

Seattle WA USA

Are you interested in building Agentic AI solutions that solve complex builder experience challenges with significant global impact The Security Tooling team designs and builds high-performance AI systems using LLMs and machine learning that identify builder bottlenecks automate security workflows and optimize the software development lifecycleempowering engineering teams worldwide to ship secure code faster while maintaining the highest security standards.

As a Senior Applied Scientist on our Security Tooling team you will focus on building state-of-the-art ML models to enhance builder experience and productivity. You will identify builder bottlenecks and pain points across the software development lifecycle design and apply experiments to study developer behavior and measure the downstream impacts of security tooling on engineering velocity and code quality. Our team rewards curiosity while maintaining a laser-focus on bringing products to market that empower builders while maintaining security excellence. Competitive candidates are responsive flexible and able to succeed within an open collaborative entrepreneurial startup-like environment. At the forefront of both academic and applied research in builder experience and security automation you have the opportunity to work together with a diverse and talented team of scientists engineers and product managers and collaborate with other teams. This role offers a unique opportunity to work on projects that could fundamentally transform how builders interact with security tools and how organizations balance security requirements with developer productivity.

Key job responsibilities
Design and implement novel AI/ML solutions for complex security challenges and improve builder experience
Drive advancements in machine learning and science
Balance theoretical knowledge with practical implementation
Navigate ambiguity and create clarity in early-stage product development
Collaborate with cross-functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions
Design and execute experiments to evaluate the performance of different algorithms and models and iterate quickly to improve results
Establish best practices for ML experimentation evaluation development and deployment


Youll need a strong background in AI/ML proven leadership skills and the ability to translate complex concepts into actionable plans. Youll also need to effectively translate research findings into practical solutions.

A day in the life
Integrate ML models into production security tooling with engineering teams
Build and refine ML models and LLM-based agentic systems that understand builder intent
Create agentic AI solutions that reduce security friction while maintaining high security standards
Prototype LLM-powered features that automate repetitive security tasks
Design and conduct experiments (A/B tests observational studies) to measure downstream impacts of tooling changes on engineering productivity
Present experimental results and recommendations to leadership and cross-functional teams
Gather feedback from builder communities to validate hypotheses

About the team
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.

- 5 years of building machine learning models or developing algorithms 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 with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.