Senior Applied Scientist, Sponsored Products

Job Description

Amazon is investing heavily in building a world-class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for 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. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Role Overview

The Sponsored Products DP Experience and Marketplace organization is looking for a strong Senior Applied Scientist who has a track record of performing deep analysis and is passionate about applying advanced ML and statistical techniques to solve real-world, ambiguous, and complex challenges to optimize and improve product performance. This role is ideal for someone motivated to achieve results in a fast-paced environment. The position offers an exceptional opportunity to grow your technical and non-technical skills and make a real difference to the Amazon Advertising business.

Key Responsibilities

• Be the technical leader in Machine Learning; lead efforts within this team and collaborate across teams.
• Rapidly design, prototype, and test many possible hypotheses in a high-ambiguity environment.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that improve shopper experiences and merchandise sales.
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, and complexity.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
• Work closely with software engineers to assist in productionizing your ML models.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
• Research new and innovative machine learning approaches.
• Promote the culture of experimentation and applied science at Amazon.

About The Team

Sponsored Products (SP) is Amazon's largest and fastest-growing business. Over the last few years, we have grown to a multi-billion dollar business. SP ads are shown prominently throughout search and detail pages, allowing shoppers to seamlessly discover products sold on Amazon. Ad experience and marketplace is one of the highest impact decisions we make. This role has an unparalleled opportunity to grow our marketplace and deliver value for advertisers and shoppers. You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest-growing businesses across all of Amazon!

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.

Additional Information

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. For individuals with disabilities who would like to request an accommodation, please visit Amazon's disability page.

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.