Senior ML Scientist, Ads Response Prediction

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Ads is expanding its Response Prediction team with a Machine Learning Applied Scientist to innovate at the intersection of customer experience, deep learning, and high-scale ML systems. You will build scalable models, run experiments, and collaborate with software engineers to deploy end-to-end solutions that optimize Sponsored Products and Brands across platforms globally.

The role emphasizes responsible AI, experimentation, and impact on both shopper and advertiser experiences, with a

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities.
• Develop scalable and effective machine-learning models and optimization strategies to solve business problems.
• Run regular A/B experiments, gather data, and perform statistical analysis.
• Work closely with software engineers to deliver end-to-end solutions into production.
• Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving.
• Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products and Brands business.

Skills

ML models

Java

C++

Python

Deep learning

Education

PhD or Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

Tensorflow

numpy

scipy

Job description

Amazon Ads is expanding its Response Prediction team with a Machine Learning Applied Scientist to innovate at the intersection of customer experience, deep learning, and high-scale ML systems. You will build scalable models, run experiments, and collaborate with software engineers to deploy end-to-end solutions that optimize Sponsored Products and Brands across platforms globally.

The role emphasizes responsible AI, experimentation, and impact on both shopper and advertiser experiences, with a