Sr. Applied Scientist, Traffic Engineering

Amazon • Sunnyvale, CA

2d

About The Position

We are seeking an innovative Senior Applied Scientist to join Amazon's Traffic
Engineering organization in developing next-generation bot detection and
mitigation capabilities. You will lead 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 pioneer 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 build 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.

Requirements

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Nice To Haves

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Responsibilities

• Design and develop advanced ML models for real-time detection of programmatic access patterns and anomalous behaviors
• Pioneer new approaches in identifying LLM-based agents and emerging automated threats
• Drive innovation in applying ML/AI techniques to traffic analysis, classification, pattern recognition and automated response systems
• Collaborate with cross-functional teams to implement layered defense strategies
• Mentor junior scientists and contribute to the team's technical direction

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