Senior Applied Scientist, Traffic Quality

About the role

1/ [Scaling Generative Pre-training for User Ad Activity Sequences. AdKDD 2023.](https://assets.amazon.science/b7/42/03be071743d5a57cb1656e6caa34/scaling-generative-pre-training-for-user-ad-activity-sequences.pdf)

What you'll do

• Define long-term science vision for Traffic Quality driven by advertiser and publisher needs, translating direction into actionable team plans
• Design and implement statistical and machine learning solutions to detect robotic and human traffic patterns across billions of daily ad events
• Own full development cycle for production-level code handling billions of ad requests: design, prototype, A/B testing, and deployment
• Partner with engineers, product managers, and cross-functional teams to solve complex IVT detection problems and influence strategic initiatives
• Mentor scientists on the team

What you need

• 6–11 yrs of experience
• Machine learning
• Python
• Deep learning
• C++
• Java
• PhD

Good to have

• Scikit-learn
• Spark
• R
• TensorFlow
• NumPy
• Hadoop