Job Opportunity: Applied Scientist - Generative AI, Strategic Risk Insights at Amazon

Are you a passionate scientist looking to create innovative Generative AI solutions that provide insights into security risks? We are seeking a hands-on researcher to join our Strategic Risk Insights team. You will derive, implement, and test cutting-edge solutions to scale security risk insights for Amazon businesses. You will collaborate with a dynamic team of software and security engineers to build a specialized product that identifies security findings at scale.

Key Responsibilities

• Implement and test novel models for classification and risk identification
• Design and develop scalable machine learning models
• Work with large datasets
• Train and deploy models
• Collaborate with software/security engineering teams to test and deploy your models
• Create detailed reports and brief findings for executive leadership
• Mentor team members on the use of your AI models

A Day in the Life

Collaborate with Amazon risk and security teams to identify essential requirements and gaps for delivering security risks to stakeholders and customers. Research datasets with security and software engineers to gather the necessary data for analysis. Conduct experiments, regressions, and various analysis activities to uncover insights. Develop and train models to be deployed in a production environment with the assistance of software engineers. Finally, work closely with security team partners to measure the effectiveness of the developed models.

About the Team

The Strategic Risk Insights team empowers stakeholders to manage their risks and make informed decisions through insightful data and innovative tools. We go beyond traditional risk management methods to provide novel solutions that unlock opportunities and drive innovation.

About AmSec

Diverse Experiences
Amazon Security values a diverse range of experiences. Whether you meet all preferred qualifications or have taken an untraditional career path, we encourage you to apply.

Why Amazon Security
At Amazon, security is central to maintaining customer trust. Our team offers talented professionals opportunities to accelerate their careers by gaining experience in diverse areas such as cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Work/Life Balance
We value work-life harmony and strive for flexibility. When our employees feel supported both at work and at home, we achieve great things together.

Inclusive Team Culture
Amazon Security embraces a culture of continuous learning and diversity. By celebrating diverse ideas, perspectives, and voices, we tackle the toughest security challenges.

Training and Career Growth
We continuously raise our performance bar, offering endless knowledge-sharing, training, and other career-advancing resources to help you develop as a professional.

Basic Qualifications

• Ph.D. or Master's degree with 6+ years of applied research experience
• 3+ years of experience building machine learning models for business applications
• Proficiency in programming languages such as Java, C++, Python
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools like R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
• Experience with large-scale distributed systems such as Hadoop, Spark
• Experience with AWS Infrastructure (Lambda, Aurora, Dynamo, Athena)
• Experience with Bedrock, SageMaker, LangChain, LLamaIndex, VectorStores, embeddings like Titan and OpenSearch

Location: We are hiring for Dallas, TX, USA, and Seattle, WA, USA.

Amazon is an Equal Opportunity Employer
Amazon is committed to a diverse and inclusive workplace and does not discriminate on the basis of race, national origin, gender, sexual orientation, disability, or other legally protected status. For individuals with disabilities who need accommodations, please visit .

Our compensation reflects the cost of labor across various US geographic markets. The base pay for this role ranges from $150,400/year to $260,000/year based on location and job-related factors. Employees are eligible for additional compensation such as equity, sign-on payments, and a comprehensive benefits package. Learn