Description

Have you wondered how Amazon uses big data and science to inform big strategic decisions? Do you want to work in a multi-disciplinary group of product managers, ML scientists, economists, finance analysts, data engineers and software engineers to build tools to help Amazon make science-driven decisions on how to make the Amazon Prime membership better for our customers? If your answer is yes, come join us as we work on this unique intersection of science, engineering and business.

As part of the engineering group of Prime economics, we are committed to building robust, scalable, maintainable and repeatable insights feeding key business decisions. In particular, we are responsible for creating counterfactual simulations that inform strategic investment decisions in Prime and its benefits, setting the right price of Prime and helping the business determine the value each Prime benefit brings to our customers. Our North Star involves creating a portfolio of tools that inform business leaders (through strategic simulation capabilities) as well as online systems as to which actions these actors can take to most delight our customers. One aspect of our team that is unique was recently characterized in a book by Turing award winner Judea Pearl (The Book of Why), who described the “Ladder of Causality” as comprising 1) Association (where most predictive ML tools live), 2) Intervention (e.g., reinforcement learning, reduced-form causal inference), 3) Imagining/Counterfactuals (e.g., structural econometrics, inverse reinforcement learning), with rungs 2 and 3 representing the future of artificial intelligence (AI) modeling. Our group is actively creating tools that span all three rungs of this ladder and anticipates being one of the company pioneers in the emerging field of creating massively-scalable causal inference and counterfactual simulation tools, an important new subfield of AI. We seek bold inventors to help us meet the challenges of this mandate.

Key job responsibilities

Key job responsibilities

Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.

Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.

Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.

Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.

Design and code the right solutions starting with broadly defined problems.

Work in an agile environment to deliver high-quality software.

About the team

Our team scales Prime Science to deliver exceptional customer experience based on the latest science at Amazon scale. Learn to work with scientists to scale and automate machine learning driven systems, driving significant impact to Prime customers WW.

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

Seattle, WA, USA

Basic Qualifications

• 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Bachelor's degree in computer science or equivalent

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 $115,000/year in our lowest geographic market up to $223,600/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.