As an Applied Scientist on our team, you'll analyze data using GenAI and other AI/ML techniques to build and deploy services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You'll work with software development engineers, security engineers, and fellow scientists to develop innovative security solutions at massive scale. Our services protect the AWS cloud for all customers, helping preserve our customers' trust in us. You'll get to use the full power and breadth of AWS technologies, including Amazon SageMaker, Bedrock, and EMR, to build services that proactively protect every single AWS customer from security threats.
A successful candidate is one who is passionate about utilizing big data, machine learning, and GenAI to solve real security problems. This role gives you the opportunity to drive technical innovation within threat detection and mitigation. Candidates are expected to have a track record of delivering high-quality results in a fast-moving environment and a high coding bar for building production-grade ML systems.
We have a team culture that encourages innovation and for every team member to have a high degree of ownership for their program, vision, and execution of ideas. We're looking for someone who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers and partner teams. We want someone who will help us amplify the positive and 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.
Key job responsibilities
- Design, build, and deploy AI/ML systems that process threat data at scale, running over large-scale security logs with real-time inference
- Expand and improve existing LLM agent pipelines for automated threat detection and response
- Conduct thorough data analyses and develop prototypes for detecting otherwise-unknown security problems
- Analyze post-mortems to understand what data signals could have prevented the occurrence
- Build data pipelines and ETL processes to handle massive security datasets
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
- Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members
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, MD, Annapolis Junction - 142,800.00 - 193,200.00 USD annually
