Description

Does innovating and delivering the world's best shopping offer evaluation experience excite you? Can you imagine delighting millions of shoppers (with unique shopping intents) with competitive, attractive offers in one of the most visited ecommerce sites? Are you looking forward to solving hard problems that combine business, scientific, and engineering challenges? Join us, and you'll help millions of worldwide Amazon shoppers make informed purchase decisions from a multi-billion product selection!

Key job responsibilities

• Utilize artificial intelligence, statistics, econometrics, and creative problem-solving skills to improve one of the most significant ecommerce algorithms that impacts millions of shoppers and sellers in the planet.

• Partner closely with engineers to put your research and ideas into production on Amazon.com.

• Leverage your science expertise to research and deliver novel solutions to explore emerging problem spaces, and create or organize knowledge around them.

• Publish papers and file patents to contribute to the machine learning community.

• Mentor Applied Scientists and Engineers with an interest in ML.

• Provide ML consultation outside your team for other problem statements.

About the team

The Featured Merchant Algorithm (FMA) vision is to provide the world’s best offer evaluation experience, ensuring that Amazon customers see the best and most relevant offers – regardless of seller, brand, store, fulfillment channel, or shopping format – for any item at any point in the shopping journey. As the global authority of offer recommendation, we strive to reduce cognitive load of shoppers and drive competition across programs/offers.

We are a team of Scientists, Economists, Engineers, and Designers working together to realize this mission. We operate in a diverse space that includes modeling of customer purchase behavior, advanced simulation, experimentation, evaluation, and compliance. We employ a variety of ML, statistics, reasoning, and econometric techniques.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

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

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.

• Experience in applied research

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 https://www.amazon.jobs/en/disability/us.

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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.