Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales.
Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Video Ads - Audience and Insights team develops and deploys solutions fueled by machine learning to support Amazon Advertisers in their strategic campaign planning.
Leaning on rich data points, we provide measurements, predictions and diagnostics that separate Amazon Advertising from all other media.
Key job responsibilities
Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.
Lead technical efforts within this team and across other teams.
Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
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.
Work closely with software engineers to assist in productionizing your ML models.
Research new machine learning approaches.
Recruit Applied Scientists to the team and act as a mentor to other Scientists on the team.
About the team
Why you will love this opportunity : Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales.
Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products.
We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
BASIC 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
PREFERRED QUALIFICATIONS
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
Last updated : 2024-08-17
Location: Austin, TX
Posted: Aug. 23, 2024, 8:13 a.m.
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