Amazon Jobs

Description

The Product Catalog is a strategic asset for Amazon. It powers unrivaled product discovery, informs customer buying decisions, offers a huge selection across a large number of categories and positions Amazon as the first stop for shopping online. Amazon Catalog Systems is looking for a customer-focused Software Development Engineer to help us make the world’s best product catalog even better and improve the experience for millions of customers.

Amazon Catalog Systems leverages machine learning to find answers to the following questions from various unstructured data sources:

• Does this TV have built-in WiFi and which streaming services are supported?

• Can this wireless speaker play music from a flash drive?

• Is the “Pack of 4 with 6 bottles of 8 fluid ounce” at $50 baby bottled formula cheaper than the “3 packs of 36 ounces” for $110 powder version?

• Which cell-phone case is the most durable, ultra-thin and the best value for my money?

• Is this mat made of silicone and what are its dimensions?

• Where is this product manufactured?

• When searching for “apple case” do you mean a cell-phone case compatible with an iPhone or a crate of apples?

If you are excited about making the Amazon catalog more dynamic, smarter and changing the way we model and understand products and help customers discover, compare and purchase products, come join us! We are looking for people with initiative who enjoy diving deep into the data and coming up with innovative solutions. You will find challenges in:

Scalability: We process billions of records about products every day ranging from electronics to cosmetics. We build highly distributed systems and design algorithms that are able to handle these large amounts of data and operate with latencies in the tens of milliseconds. Where traditional solutions fail we develop approximate, distributed and streaming algorithms.

Ambiguity: We create, operationalize, monitor, and retrain thousands of ML models. Yes, you read it right - we are operating thousands of ML models simultaneously. We are always looking to raise the bar to manage the ML at scale. You can help us get there.

Responsibilities:

• Build scalable, efficient, and automated knowledge discovery systems

• Analyze and process large amounts of to extract valuable information from various sources (e.g. product catalog, search query ...)

• Actively participate in idea and roadmap generation.

• Work creatively through and around perceived limitations and/or challenges imposed by the delivery platform to enable delightful experiences for customers.

• Effectively present work to all levels of the leadership.

• Be an effective collaborator in a cross functional team of SDEs, Technical Program Managers, and Product Managers.

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 $129,300/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.