TL;DR

Applied Scientist (AI): Building and optimizing personalized advertising products for Amazon's businesses using state-of-the-art ML techniques with an accent on deep learning, reinforcement learning, LLMs, long-term causal modeling, and sophisticated A/B testing. Focus on driving ML-driven solutions for millions of advertisers, shaping the applied science roadmap, and delivering significant business impact through advanced data techniques.

Location: Must be based in the US

Salary: $136,000–$223,400/year

Company

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering advertising products that drive discovery and sales.

What you will do

Serve as a technical leader in Machine Learning, guiding efforts and collaboration within and across teams.
Conduct hands-on analysis and modeling of large-scale data to generate insights for ads revenue growth.
Lead end-to-end Machine Learning projects involving high levels of ambiguity, scale, and complexity.
Build, experiment with, optimize, and deploy machine learning models in collaboration with software engineers.
Run A/B experiments, gather data, and perform statistical analysis to validate models.
Develop scalable and automated processes for data analysis, model development, validation, and serving.

Requirements

3+ years of experience building models for business application.
PhD, or Master's degree with 5+ years of experience in CS, CE, ML, or a related field.
Experience programming in Java, C++, or Python.
Experience in algorithms and data structures.
Experience in numerical optimization, data mining, parallel, or distributed computing.

Nice to have

Experience using Unix/Linux.
Experience in professional software development.

Culture & Benefits

Amazon is an equal opportunity employer.
Inclusive culture empowering employees to deliver results.
Workplace accommodation or adjustment support during the application and hiring process.
Full range of medical, financial, and other benefits.