Senior Applied Scientist — GenAI for Global Ads

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSU

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Ads is seeking a senior ML scientist 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 from problem framing to production deployment and work cross-functionally with engineers, PMs, and fellow scientists to ship fast.

The role emphasizes experiments, measurable business impact, and balancing customer and advertiser needs, with opportunities to advance research into

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
• 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

• 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++

ML

Education

PhD

Master's + 6 years applied research

Tools

scikit-learn

TensorFlow

PyTorch

Spark MLLib

MxNet

numpy

scipy

Job description

Amazon Ads is seeking a senior ML scientist 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 from problem framing to production deployment and work cross-functionally with engineers, PMs, and fellow scientists to ship fast.

The role emphasizes experiments, measurable business impact, and balancing customer and advertiser needs, with opportunities to advance research into