Senior 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 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

You will be a technical leader on your team. You will work efficiently and routinely deliver the right things with limited guidance. Your work focuses on ambiguous problem areas to create next-gen ML related services to delight customer.

1. Proactively fix architecture deficiencies and/or propose larger projects.

2. Split work into parallel tasks that can be performed by you and others and then reassembled successfully.

3. Make right technical trade-offs between short-term technology or operational needs and long-term business needs.

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

5. Take ownership of team architecture, providing a system-wide view and design guidance.

6. Influence software decisions made by other teams.

7. Actively recruit and help others leverage your expertise, by coaching and mentoring in your organization