Amazon

Applied Scientist II, Perimeter Protection Applied Science

Amazon$142K — $193K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience building models for business applications
  • PhD or Master's degree with 2+ years in CS, CE, ML or related fields
  • Experience in patents or publications at top-tier peer-reviewed conferences
  • Programming proficiency in Java, C++, Python or similar languages
  • Strong foundation in algorithms, data structures, and numerical optimization
  • Familiarity with deep learning frameworks like MxNet and TensorFlow

Responsibilities

  • Design and develop ML models for detecting and mitigating cyber threats
  • Explore applications of large language models and generative AI in security
  • Implement end-to-end ML solutions from data handling to deployment
  • Analyze large datasets to identify threat patterns and develop ML security solutions
  • Maintain data pipelines and workflows for efficient model training
  • Collaborate with engineers for integrating ML models into security systems
  • Run experiments to validate model performance and enhance methodologies
  • Contribute to design reviews and share knowledge within the team

Benefits

  • Health insurance including medical, dental, and vision
  • 401(k) matching and financial wellness benefits
  • Paid time off and parental leave
  • Support for adoption and surrogacy
  • Mental health support and counseling services
Full Job Description
Join the AWS Perimeter Protection team as an Applied Scientist, where you will design and build AI/ML models that protect AWS customers from cyber threats at massive scale.

You will work on challenging problems in threat detection, bot management, DDoS protection, and web application security - developing and deploying machine learning solutions that leverage techniques including large language models, generative AI, and agentic AI systems. Operating across all AWS regions and processing trillions of requests per week, you will collaborate with experienced scientists and engineers to deliver production-grade, intelligent security systems that provide robust, adaptive, and

forward-looking protection for AWS customers worldwide.

Key job responsibilities

- Design, develop, and evaluate ML models and algorithms for threat detection, anomaly detection, and mitigation of evolving cyber threats including DDoS attacks, bot activity, and web application exploits.

- Explore and apply large language models, generative AI, and agentic AI approaches to security challenges such as automated threat analysis, intelligent mitigation, and

adaptive defense systems.

- Implement end-to-end ML solutions - from data exploration and feature engineering through model training, evaluation, and deployment into production systems.

- Analyze large-scale datasets to uncover patterns, identify emerging threat vectors, and translate findings into effective ML-based security solutions.

- Build and maintain data pipelines and model training workflows that support rapid experimentation and reliable production performance.

- Collaborate with software engineers to integrate ML models into low-latency, high-throughput security systems at cloud scale.

- Design and run experiments to validate model performance, measure impact, and iterate on approaches using rigorous scientific methodology.

- Stay current with recent advances in AI/ML - including LLMs, generative AI, and agentic systems - and cybersecurity research, applying relevant techniques to improve detection and protection capabilities.

- Contribute to design reviews, and knowledge sharing.

- Participate in the team's scientific roadmap by proposing ideas and identifying opportunities to improve existing systems.

BASIC QUALIFICATIONS

- 2+ years of building models for business application experience

- PhD, or Master's degree and 2+ 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

- Experience with popular deep learning frameworks such as MxNet and Tensor Flow

PREFERRED QUALIFICATIONS

- PhD in computer science, computer engineering, or related field

- Experience in designing experiments and statistical analysis of results

- Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members

- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

- Experience applying theoretical models in an applied environment

- Have publications at top-tier peer-reviewed conferences or journals

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, WA, Seattle - 142,800.00 - 193,200.00 USD annually

About Amazon

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Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
NASDAQ

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