Applied Scientist, Amazon

• 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++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Desirable

• Our team is responsible for building a new advertising product for non-endemic advertisers. We are tasked with taking this start-up offering to market, with the goal of empowering over one million non-endemic advertisers to independently plan and execute campaigns
• “Non-endemic” brands offer products and services that are not sold/available in Amazon’s retail marketplace, including restaurants, hotels, airlines, insurance, telecom, and automobiles
• We are embarking on a multi-year vision to democratize display advertising for non-endemic advertisers at self-service scale
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models
• Run A/B experiments, gather data, and perform statistical analysis
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
• Research new and innovative machine learning approaches
• Train and fine-tune neural models including transformers and language models
• Recruit Applied Scientists to the team and provide mentorship