Senior Applied Scientist: Generative AI for Ads

Amazon; Bellevue (WA); On-site; USD 167,000 - 260,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Ads is seeking a machine learning leader to research and build next-generation ML solutions, including generative AI and LLM applications, that transform advertising at scale.

You will own end-to-end projects, design experiments, and ship production models, collaborating with engineers, PMs, and scientists to drive real business impact.

This role offers exposure to large datasets and advanced ML tools, with opportunities to mentor others and shape strategy across 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

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

Deep learning

ML research

Productionization

Education

PhD or Master’s degree

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

Amazon Ads is seeking a machine learning leader to research and build next-generation ML solutions, including generative AI and LLM applications, that transform advertising at scale.

You will own end-to-end projects, design experiments, and ship production models, collaborating with engineers, PMs, and scientists to drive real business impact.

This role offers exposure to large datasets and advanced ML tools, with opportunities to mentor others and shape strategy across ad products.