Applied Scientist, Global Ads ML & Localization

Amazon Science; New York (NY); On-site; USD 172,000 - 223,000; Full time

Job summary

Amazon Advertising is seeking an experienced Applied Scientist to research, design, and create elegant machine learning solutions that localize multi‑media advertising content across marketplaces. You will work with NLP, CV, and deep learning to build models and improve discovery, sales, and global campaigns.

You will partner with software engineers to productionize models, run experiments, and deliver measurable impact for advertisers and Amazon’s retail and marketplace businesses.

Qualifications

• 3+ years of building models for business applications.
• PhD or MS with 4+ years of CS/CE/ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, HPC.

Responsibilities

• Build end-to-end ML solutions and deliver scalable models.
• Perform hands-on analysis with large data sets to derive insights.
• Collaborate with software engineers to productionize models.
• Run A/B experiments affecting hundreds of millions of customers and report results.
• Establish scalable data analysis and model validation processes.
• Research new ML approaches and apply to localization and global campaigns.

Skills

Java

C++

Python

Algorithms & data structures

Numerical optimization

Data mining

Parallel computing

Distributed computing

High-performance computing

Education

PhD

MS + CS/CE/ML

Tools

MxNet

TensorFlow

Unix/Linux

Job description

Amazon Advertising is seeking an experienced Applied Scientist to research, design, and create elegant machine learning solutions that localize multi‑media advertising content across marketplaces. You will work with NLP, CV, and deep learning to build models and improve discovery, sales, and global campaigns.

You will partner with software engineers to productionize models, run experiments, and deliver measurable impact for advertisers and Amazon’s retail and marketplace businesses.