DESCRIPTION
Software Development Engineer: Classification and Policy Platform (aka. CPP)
Want to teach machines to search for needles in a haystack? Ever wonder how you can keep the worlds largest selection also the worlds safest and legally compliant selection? Then come join a team with the charter to monitor and classify the billions of items in the Amazon catalog to ensure compliance with various legal regulations and policies. The CPP AI team is looking for outstanding Software Development Engineers to build technology to automatically monitor the billions of products on the Amazon platform. The software and processes built by this team are a critical component of building a catalog that our customers trust.
You will have an opportunity to work with cutting edge machine learning algorithms on large datasets and building self-service ML model training system using active learning techniques. Your will need to build Amazon scale ML applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data.
BASIC QUALIFICATIONS
Programming experience with at least one modern language such as Java, C++, or C including object-oriented design
1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
2+ years of non-internship professional software development experience
Bachelor's degree in Engineering, Computer Science or related technical field
Sound knowledge of Algorithms and Data structures
Knowledge of database systems and SQL
Good OO programming skills in a major language like C++ or Java
Track record for being detail-oriented with a passion for software engineering excellence
3+ years of relevant work experience
PREFERRED QUALIFICATIONS
Masters degree and/or PhD preferred in mathematics, computer science, or related discipline
Experience in delivering Amazon-scale systems
A deep understanding of distributed and service-oriented architectures. Delivered large scale commercial enterprise software systems or large scale online services
Experience with Machine Learning Algorithms.
Proficiency in Java in a Linux/Unix environment.
Experience with Python, scikit-learn.
Experience in building micro-services hosted on Docker Containers.
Understanding of active learning techniques for teaching machines.
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Seattle, WA
Amazon.com, Inc. engages in the retail sale of consumer products and subscriptions in North America and internationally. The company operates through three segments: North America, International, and Amazon Web Services (AWS) segments. It sells merchandise and content purchased for resale from third-party sellers through physical stores and online stores.
The company also manufactures and sells electronic devices, including Kindle e-readers, Fire tablets, Fire TVs, and Echo devices; provides Kindle Direct Publishing, an online service that allows independent authors and publishers to make their books available in the Kindle Store; and develops and produces media content.
In addition, it offers programs that enable sellers to sell their products on its Websites, as well as their own branded Websites; and programs that allow authors, musicians, filmmakers, skill and app developers, and others to publish and sell content. Further, the company provides compute, storage, database, and other AWS services, as well as compute, storage, database offerings, fulfillment, publishing, digital content subscriptions, advertising, and co-branded credit card agreement services.
Additionally, it offers Amazon Prime, a membership program, which provides free shipping of various items; access to streaming of movies and TV episodes; and other services. It serves consumers, sellers, developers, enterprises, and content creators. Amazon.com, Inc. has a strategic partnership with Volkswagen AG. The company was founded in 1994 and is headquartered in Seattle, Washington.