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Amazon

Software Development Engineer Amazon
Seattle, WA

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About Amazon

Job Description

About the team...

Are you interested in being part of a fast paced technology company with the largest e-commerce platform in the world, and build scalable AI systems that protect customers to earn their trust? You will be building scalable systems that use Machine Learning (ML) to continuously learn and prevent malicious actors, and preserve customer trust. You will have to solve tough scalability problems and use the right tools to support rapid business growth.

Group Overview

Customer Trust and Partner Support (CTPS) is the organization that constantly makes high judgment decisions across a wide breadth of constituents. We build and deliver services for Buyers, Sellers, Vendors and other customers. We ensure that Amazon is a safe and trustworthy place to shop and an amazing place to build a successful business selling products. We support our many partners in this journey. We face constant trade-offs and competing objectives that we need to appropriately balance. We have to do all of this at high scale which only happens through technology and science. We are also a large organization that leads on innovation in many areas, so we also play a critical role in helping Amazon more broadly beyond our own goals.

We're the Core ML Services Engineering team in CTPS organization. We create next-gen ML services that is ahead of the industry standard & cloud standard solutions, and that help accelerate AI and ML developments with end-to-end highly automated and highly intelligent ML model building and ML feature engineering solutions. We own & build consolidated ML orchestration environments that will drive speed, quality, and efficiency of ML efforts across CTPS and Amazon. We not only leverage industry leading AI technology such as AWS AI, Open source AI framework, we innovate our own solutions that are ahead of the curve (and necessarily so to stay ahead of bad actors).

Key Responsibilities

Develop large scale, high performance, high reliability ML systems for data, feature, model and rule management.

* Work closely with ML scientists, understand the requirements, design and deliver innovative next-gen solutions to help preserve customer trust.
* Work as the owner of the system and operate excellent to provide stable and robust services to customers and other teams.
* Innovate based on new ideas and build comprehensive system/features across the whole ML pipeline

About Amazon

Amazon is an electronic commerce and cloud computing company.

Headquarters
Size
630600 employees
Amazon

410 Terry Ave N

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