Applied Scientist, AWS Security

Amazon; Arlington, Northern (VA, KY); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon is seeking an Applied Scientist to leverage analytics and machine learning to protect our cloud infrastructure from security threats. You will develop anomaly detection, predictive models, and real-time analysis systems across AWS infrastructure, using Python and ML techniques.

The team emphasizes collaboration, inclusivity, and flexible work arrangements. You will work with peers across Maryland and Virginia, delivering results during core hours while maintaining a strong security

Qualifications

• 3+ years building models for business applications.
• PhD or Master’s plus 4+ years in CS/CE/ML or related field.
• Experience with patents or publications at top-tier conferences/journals.
• Proficient in Java, C++, Python or related language.
• Strong background in algorithms, data structures, data mining, parallel and distributed computing.

Responsibilities

• Analyze large-scale security data using statistical methods and data mining techniques.
• Create automated systems for real-time pattern recognition and risk assessment.
• Build data pipelines and ETL processes to handle massive security datasets.
• Translate complex analytical findings into actionable security insights.
• Run experiments to assess potential risk of security responses.
• Expand existing LLM agent pipelines and improve security postures.
• Analyze post mortems to understand signals that could have prevented incidents.

Skills

Java

C++

Python

Machine Learning

Education

PhD in CS/CE/ML

Master's in CS/CE/ML

Tools

Unix/Linux

AWS SageMaker

Job description

Job ID: 10507457 | Amazon.com Services LLC

As an Applied Scientist on our team, you will leverage advanced analytics and machine learning to protect our cloud infrastructure from security threats. You'll develop and deploy sophisticated anomaly detection models, predictive algorithms, and real-time analysis systems that identify and automate the mitigation of cyber threats across Amazon's infrastructure. Your expertise in statistical analysis, machine learning, and big data processing will be crucial in building scalable security solutions.

Key Responsibilities

• Analyze large-scale security data using statistical methods and data mining techniques
• Create automated systems for real-time pattern recognition and risk assessment
• Build data pipelines and ETL processes to handle massive security datasets
• Translate complex analytical findings into actionable security insights

We use the full power of AWS technologies, including Amazon SageMaker, EMR, and other ML/AI services to protect every AWS customer from security threats. Experience with Python and a strong background in statistical analysis and machine learning are essential.

We're looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture we've been building.

We understand that life is dynamic and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs. Our team is distributed, though most of the team is located in Maryland and Virginia. We generally keep core business hours of 10:00 AM EST - 3:00 PM EST, while allowing flexibility as needed. At AWS Security, it’s not about clocking hours, it’s about delivering results.

On-Call Responsibility

This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.

Key Job Responsibilities

• Running experiments to assess potential risk of security responses.
• Expanding our existing LLM agent pipelines
• Analyzing post mortems to understand what data signals could have prevented the occurrence

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, 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.

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 & 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.

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, there’s nothing we can’t achieve.

Basic Qualifications

• 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 in patents or publications at top-tier peer-reviewed conferences or journals
• 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

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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.

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 https://amazon.jobs/en/benefits .

USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually