TL;DR
Applied Scientist (AI): Developing forecasting models for Amazon Ads using Machine Learning and Bayesian Statistics with an accent on predicting supply and ad performance. Focus on integrating models into Amazon's Ads ecosystem to inform business decisions and improve advertising efficiency.
Location: USA, CA, Palo Alto
Salary: 171,600.00 - 222,200.00 USD annually
Company
Amazon is investing heavily in building a world-class advertising business.
What you will do
- Lead technical efforts in Machine Learning across teams.
- Perform hands-on analysis and modeling of large datasets to increase traffic monetization and merchandise sales.
- Drive end-to-end Machine Learning projects with a high degree of ambiguity, scale, and complexity.
- Build, experiment, optimize, and deploy machine learning models into production, working closely with software engineers.
- Run A/B experiments, gather data, and perform statistical analysis.
- Research new and innovative machine learning approaches.
Requirements
- 3+ years of building models for business application experience.
- PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience.
- Experience programming in Java, C++, or Python.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, or parallel and distributed computing.
Nice to have
- Experience using Unix/Linux.
- Experience in professional software development.
- Experience building machine learning models or developing algorithms for business application.
Culture & Benefits
- Opportunity to work within one of the fastest-growing businesses across all of Amazon.
- Work in a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit.
- Define a long-term science vision for the advertising business.
- Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.