Applied Scientist, Traffic Engineering - EdgeLink

Amazon • Sunnyvale, CA

17d

About The Position

We are seeking a talented Applied Scientist to join Amazon's Traffic Engineering
organization in developing next-generation bot detection and mitigation
capabilities. You will contribute to the scientific development of real-time
anomaly detection systems to identify and counter sophisticated automated
threats, including LLM-powered agents, protecting Amazon's websites and
subsidiaries worldwide.

This is a critical challenge at the intersection of ML and cybersecurity. With
GenAI/LLM-powered bots now capable of mimicking human behavior, evading
traditional detections, and monetizing attacks, we must revolutionize our
approach from reactive to real-time protection. You'll help build ML systems
that can detect threats in milliseconds instead of days, protecting Amazon
assets and compute while ensuring legitimate bot traffic continues to benefit
our business. This role offers the unique opportunity to implement
first-of-its-kind real-time behavior-based ML models that will safeguard
Amazon's global infrastructure. Your work will directly impact millions of
customers by ensuring the integrity and availability of Amazon's digital
presence while advancing the state-of-the-art in automated threat detection and
response.

Our team is embarking on a journey to develop the next generation of website
traffic management software that protects customers experience. Your work will
be highly visible and is instrumental in helping Amazon serve record breaking
amounts everyday including flagship events such as Prime Day. If you love
building high performance software that's focused on best-in-class networking,
data processing, security, and leverages AWS technologies, we have the job for
you.

Requirements

• 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

Nice To Haves

• Bachelor's degree in Math, Statistics, Computer Science, or related science field, or experience diving into data to discover hidden patterns and of conducting error/deviation analysis

Responsibilities

• Implement and optimize ML models for real-time detection of programmatic access patterns and anomalous behaviors
• Support development of new approaches in identifying LLM-based agents and emerging automated threats
• Apply ML/AI techniques to traffic analysis, classification, and automated response systems
• Work with cross-functional teams to implement layered defense strategies
• Contribute to the team's technical implementations and documentation

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree