Sr. Applied Scientist, Amazon Ads
Core
Re-imagine advertising through generative AI and advanced ML to optimize ad creation, performance, and customer insights for Amazon's Retail and Marketplace businesses.
Role type
Senior Applied Scientist (Generative AI & Large Scale ML)
Builds
Large-scale ML models, pipelines, and optimization solutions for ad traffic monetization and customer experience.
Domain
Advertising, Generative AI, Large Language Models, Distributed Systems
Deliverable
production ML models
Required skills
Machine learning model development, neural deep learning, Java/C++/Python programming, A/B experiment design, supply optimization modeling, technical leadership, scalable process development
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Technologies
Java, C++, Python, Spark, Hadoop, Tensorflow, MxNet, scikit-learn, numpy, scipy
Responsibilities
Conduct hands-on data analysis and build large-scale ML models; Design and run A/B experiments to validate hypotheses; Research and implement ML approaches including generative AI and LLMs; Drive end-to-end optimization projects at massive scale; Provide technical leadership and research new ML approaches; Develop scalable processes for model development and deployment.
Seniority
Senior, hands-on IC with research leadership
