Amazon
Applied Scientist , Sponsored Products Ads Response Prediction
Amazon, Arlington, Washington, United States, 98223
Applied Scientist, Sponsored Products Ads Response Prediction
Job ID: 2751054 | Amazon.com Services LLCThis position is open to all candidates in Palo Alto, CA, Seattle, WA, NYC and Arlington, VA
Amazon Ads Response Prediction team is your choice if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.
Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance 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 daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities.
We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with the right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and help Amazon continuously innovate on behalf of all customers.
Key job responsibilitiesAs a Machine Learning Applied Scientist, you will:
Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunitiesDevelop scalable and effective machine-learning models and optimization strategies to solve business problemsRun regular A/B experiments, gather data, and perform statistical analysisWork closely with software engineers to deliver end-to-end solutions into productionImprove the scalability, efficiency, and automation of large-scale data analytics, model training, deployment, and servingConduct research on new machine-learning modeling to optimize all aspects of Sponsored Products business
About the teamWe are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products business. We develop customized CTR and CVR prediction models to help shoppers feel understood and shop efficiently on off search placements (including product detail pages, thank you pages, home pages, etc.). We develop generative models to understand shopper intent and preference and predict next action. BASIC QUALIFICATIONS
- 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 computingPREFERRED QUALIFICATIONS
- Are enrolled in a PhD in computer science, computer engineering, or related fieldAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Job ID: 2751054 | Amazon.com Services LLCThis position is open to all candidates in Palo Alto, CA, Seattle, WA, NYC and Arlington, VA
Amazon Ads Response Prediction team is your choice if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.
Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance 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 daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities.
We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with the right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and help Amazon continuously innovate on behalf of all customers.
Key job responsibilitiesAs a Machine Learning Applied Scientist, you will:
Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunitiesDevelop scalable and effective machine-learning models and optimization strategies to solve business problemsRun regular A/B experiments, gather data, and perform statistical analysisWork closely with software engineers to deliver end-to-end solutions into productionImprove the scalability, efficiency, and automation of large-scale data analytics, model training, deployment, and servingConduct research on new machine-learning modeling to optimize all aspects of Sponsored Products business
About the teamWe are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products business. We develop customized CTR and CVR prediction models to help shoppers feel understood and shop efficiently on off search placements (including product detail pages, thank you pages, home pages, etc.). We develop generative models to understand shopper intent and preference and predict next action. BASIC QUALIFICATIONS
- 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 computingPREFERRED QUALIFICATIONS
- Are enrolled in a PhD in computer science, computer engineering, or related fieldAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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