Software Development Engineer Amazon
Seattle, WA

Job Description

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 the opportunity to solve the toughest technical problems in the industry and develop powerful tools, which enable 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 for software developers to help building 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 a large organization that leads innovation in many areas, so we also play a critical role in helping Amazon more broadly beyond our own goals.

We're the CTPS Machine Learning Accelerator (MLA) team, a team of senior scientists and software engineers, focusing on inventing, prototyping and proving out new and advanced ML techniques that solve fundamentally hard problems and provide step-function improvements over a multi-year period to the CTPS mission and goals. These technical innovations are deeply rooted in business needs and require close collaboration with both technical communities within CTPS, and CTPS business leaders alike. The CTPS MLA team spearheads technological advancement, and demonstrates its effectiveness in production, while also acting as a center of excellence for ML practices within CTPS.

We create next-generation solutions that help accelerate AI and ML development and business deployment, with end-to-end, scalable, highly-automated and intelligent ML model building and ML feature engineering solutions. 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.

Key Responsibilities

1. You will be working closely with software engineers and ML scientists. You will work efficiently and routinely to deliver the right projects with limited guidance. Your work focuses on ambiguous problem areas and help creating next-generation ML-rooted solutions to delight customers and stop bad actors.

2. Provide context for current technology choices and guide future technology choices.

3. Influence software decisions made by other teams.

4. Help recruiting, coaching, and mentoring junior software engineers in your organization.