Amazon
Sr. Applied Scientist , Amazon Sponsored Products Ads Response Prediction
Amazon, Seattle, Washington, us, 98127
Sr. Applied Scientist, Amazon Sponsored Products Ads Response Prediction
Job ID: 2826020 | Amazon.com Services LLCThe Amazon Ads Response Prediction team is seeking an experienced and motivated Senior Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems. This role will focus on driving the technical direction of ML solutions to connect customers with the right products.Amazon Advertising operates at the intersection of eCommerce and advertising, 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, creating world-class products to improve both shopper and advertiser experience.We are looking for a talented Senior Machine Learning Applied Scientist for our Amazon Ads Response Prediction team. We provide advanced real-time machine learning services to connect shoppers with the right ads on all platforms and surfaces worldwide. Through a deep understanding of both shoppers and products, we help shoppers discover new products they love and provide the most efficient way for advertisers to meet their customers.Key Job Responsibilities
As a Senior Machine Learning Applied Scientist, you will:Conduct hands-on data analysis, build large-scale machine-learning models and pipelines.Work closely with software engineers on detailed requirements, technical designs, and implementation of end-to-end solutions in production.Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons, and Conferences.Help attract and recruit technical talent.BASIC QUALIFICATIONS
3+ years of building machine learning models for business applications.PhD, or Master's degree and 6+ years of applied research experience.Experience programming in Java, C++, Python, or related languages.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.Amazon 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.Compensation:
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.Posted:
August 28, 2024 (Updated 2 days ago)
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Job ID: 2826020 | Amazon.com Services LLCThe Amazon Ads Response Prediction team is seeking an experienced and motivated Senior Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems. This role will focus on driving the technical direction of ML solutions to connect customers with the right products.Amazon Advertising operates at the intersection of eCommerce and advertising, 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, creating world-class products to improve both shopper and advertiser experience.We are looking for a talented Senior Machine Learning Applied Scientist for our Amazon Ads Response Prediction team. We provide advanced real-time machine learning services to connect shoppers with the right ads on all platforms and surfaces worldwide. Through a deep understanding of both shoppers and products, we help shoppers discover new products they love and provide the most efficient way for advertisers to meet their customers.Key Job Responsibilities
As a Senior Machine Learning Applied Scientist, you will:Conduct hands-on data analysis, build large-scale machine-learning models and pipelines.Work closely with software engineers on detailed requirements, technical designs, and implementation of end-to-end solutions in production.Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons, and Conferences.Help attract and recruit technical talent.BASIC QUALIFICATIONS
3+ years of building machine learning models for business applications.PhD, or Master's degree and 6+ years of applied research experience.Experience programming in Java, C++, Python, or related languages.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.Amazon 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.Compensation:
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.Posted:
August 28, 2024 (Updated 2 days ago)
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