We are open to hiring candidates to work out of: Seattle, WA, USA

Do you want to join an innovative team that's breaking new ground in detecting and preventing abuse and security threats across Amazon's global operations? Are you excited by the prospect of developing novel machine learning approaches to identify emerging abuse patterns that span multiple systems and data sources?
We are looking for a talented Applied Scientist to join our Security Abuse Prevention team. This role offers a unique opportunity to build first-of-their-kind ML models that protect Amazon's logistics network by detecting suspicious patterns across warehouse operations, transportation systems, and customer service interactions. You'll collaborate closely with security teams and operations stakeholders to translate complex abuse scenarios into scalable detection systems.




Key job responsibilities
* Design and develop novel machine learning models to detect abuse patterns across logistics systems, focusing on anomaly detection and adaptive learning approaches
* Analyze large-scale logistics data to identify emerging abuse vectors and quantify their business impact
* Partner with security teams to translate abuse scenarios into model features and detection rules
* Work closely with engineering teams to implement real-time detection systems
* Collaborate with operations teams to validate findings and refine models based on ground truth
* Research and implement innovative approaches for connecting signals across disparate systems
* Establish scalable processes for model development, validation and deployment
* Provide clear insights to leadership on abuse trends and model performance

A day in the life
You will partner with teams across Amazon's security and operations organizations and work with unique datasets spanning Amazon's global operations. You will pioneer new approaches to security abuse prevention shape and drive measurable business impact through novel ML applications.

Security Abuse Prevention team provides Stores businesses with identity and access management solutions and drive resilience against security abuse. We do this through scalable mechanisms, leveraging automation and AI, while ensuring protection of our customer data and privacy. The team focuses on data collection, correlation, and anomaly identification across Amazon's global logistics network.

About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t 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 Amazon’s 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.

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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Inclusive Team Culture
In Amazon Security, it’s 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 and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in solving business problems through machine learning, data mining and statistical algorithms- Experience applying theoretical models in an applied environment
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
- Experience with abuse/fraud detection systems.
- Demonstrated ability to work in ambiguous problem spaces
- Track record of end-to-end ML project ownership, Strong communication skills and ability to influence cross-functional partners

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.