Sr. Applied Scientist, Amazon Ads
Core
Research and implement cutting-edge ML approaches including generative AI and large language models to transform the advertising life cycle, from ad creation and optimization to performance analysis.
Role type
Senior Applied Scientist (Generative AI & Large Language Models)
Builds
Innovative ML solutions for ranking, personalization, NLP, computer vision, and recommender systems within the advertising ecosystem.
Domain
Advertising technology, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Machine learning model building, neural deep learning methods, Java, C++, Python, large-scale data processing
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Research and implement cutting-edge ML approaches including generative AI and large language models; Develop and deploy innovative ML solutions spanning ranking, personalization, NLP, computer vision, and recommender systems; Drive end-to-end projects tackling ambiguous problems at massive scale; Build and optimize models balancing multiple stakeholder needs; Design and run A/B experiments to validate hypotheses and measure business impact; Develop scalable, efficient processes for model development, validation, and deployment
Seniority
Senior, hands-on IC with research leadership potential