Senior Applied Scientist - GenAI for Scalable Ads

Amazon; New York (NY); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Ads is seeking a senior machine learning leader to design and deploy next-generation ML and generative AI solutions at scale. You will own end-to-end projects, from framing ambiguous problems to production-grade models, and run experiments that demonstrate real business impact.

You’ll collaborate with world-class engineers, scientists, and product leaders, shaping strategies and mentoring teammates while advancing monetization-friendly ML pipelines across diverse ad products.

Qualifications

• 5+ years building ML models for real business applications
• PhD, or Master’s degree + 6 years of applied research experience
• Strong programming skills in Python, Java, C++, or similar
• Hands-on experience with deep learning and neural network methods
• 3+ years of building machine learning models for business applications

Responsibilities

• Research and build next-generation ML solutions — including generative AI and LLM applications — that transform how advertising works
• Own end-to-end projects: from messy, ambiguous problems to deployed, production-grade models
• Design experiments that validate your hypotheses and measure real business impact
• Build models that balance what's best for customers and advertisers — because great advertising should feel helpful, not intrusive
• Work cross-functionally with engineers, PMs, and fellow scientists to ship fast and iterate faster
• Develop scalable ML pipelines that optimize monetization without sacrificing customer experience

Skills

Python

Java

C++

Deep learning

ML modeling

Research experience

Education

PhD or Master’s degree

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

Amazon Ads is seeking a senior machine learning leader to design and deploy next-generation ML and generative AI solutions at scale. You will own end-to-end projects, from framing ambiguous problems to production-grade models, and run experiments that demonstrate real business impact.

You’ll collaborate with world-class engineers, scientists, and product leaders, shaping strategies and mentoring teammates while advancing monetization-friendly ML pipelines across diverse ad products.