Applied Scientist, Global Ad Growth & Localization

Amazon; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Amazon Advertising is seeking an experienced Applied Scientist to research, design, and create machine learning solutions for localization across multi-marketplaces. You will build end-to-end models using NLP, CV, and DL, and work with engineers to productionize them.

You will run large-scale A/B experiments, analyze massive datasets, and communicate results to stakeholders. This role offers opportunities to impact billions of impressions and drive global campaigns.

Qualifications

• Experience building ML models and pipelines.
• Strong analysis of large datasets to derive insights.
• Ability to productionize ML solutions with software engineers.

Responsibilities

• Build and deliver end-to-end machine learning solutions; build ML models and perform data analysis to deliver scalable solutions to business problems.
• Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.
• Work closely with software engineers on detailed requirements to productionize the ML models you build.
• Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Research new innovate machine learning approaches.

Skills

Machine Learning

NLP

Computer Vision

Tools

TensorFlow

PyTorch

Job description

Amazon Advertising is seeking an experienced Applied Scientist to research, design, and create machine learning solutions for localization across multi-marketplaces. You will build end-to-end models using NLP, CV, and DL, and work with engineers to productionize them.

You will run large-scale A/B experiments, analyze massive datasets, and communicate results to stakeholders. This role offers opportunities to impact billions of impressions and drive global campaigns.