Senior Applied Scientist, AWS Security

Senior Applied Scientist – AI/ML & Cybersecurity

About the Role

As a Senior Applied Scientist, you'll analyze data using GenAI and other AI/ML techniques to build new services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure, including advanced persistent threats. You'll work with software development engineers, security engineers, and other applied scientists across multiple teams to develop innovative security solutions at a massive scale. Our services protect the AWS cloud for all customers, helping preserve our customers' trust in us.

This role gives you the opportunity to lead technical innovation and drive the future direction of automation within threat detection and mitigation. You'll use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats.

Key Responsibilities

• Design, build, and deploy AI/ML systems that process threat data at scale, running over petabyte-scale security logs with real-time inference
• Conduct thorough data analyses and develop prototypes for detecting otherwise-unknown security problems
• Independently frame ambiguous problems, and then define and deliver a research agenda with limited guidance
• Seek out, develop, and advocate for new technologies to solve scientifically-complex security problems
• Build consensus on scientific approaches, balancing analytic rigor with the operational urgency inherent to security
• Mentor and develop teammates both technically and professionally
• Publish patents and peer-reviewed articles, and present your research both internally and externally

About the Team

This team is part of the larger Amazon Active Defense organization, focused on bringing automation – at scale – to AWS Security. Teams within Amazon Active Defense consist of security engineers, data/applied scientists, and software developers, all working together to launch big data analytics able to automatically detect and mitigate threats within AWS in near-real-time. This team, in particular, is focused on both detecting and automatically stopping advanced actor activities in internal AWS resources.

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience
• Experience leading engineering teams as a mentor or tech lead
• 3+ years of non-internship experience building machine learning models for business applications
• Experience deploying AI/ML models into production systems with direct, verified customer impact
• Non-internship experience of programming and/or scripting to solve real-world problems (e.g., in Python)
• This role requires you to be a national of an EU Member state

Preferred Qualifications

• Experience using AI/ML to solve problems in cybersecurity, fraud, or related areas
• Experience building and deploying new GenAI applications
• Experience with large scale distributed systems such as Hadoop, Spark, etc.
• Experience with AWS or other cloud services (e.g., SageMaker, Bedrock, EMR, Glue, Lambda, S3, etc.)

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. 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.

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.

Equal Opportunities

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice at https://www.amazon.jobs/en/privacy_page to know more about how we collect, use and transfer the personal data of candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.