Are you interested in being part of a fast paced technology company with the largest e-commerce platform in the world, and building 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 scalability problems and use the right tools to support rapid business growth.

Seller Partner Services (SPS) 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 a 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 the SPS organization. We create next-gen ML services that are 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 SPS 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 job responsibilities
Key job responsibilities
-Architect and implement enterprise-scale ML/AI systems with emphasis on performance optimization, fault tolerance, and reliability at scale.
-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 excellently to provide stable and robust services to customers and other teams.
-Mentor junior engineers while collaborating cross-functionally with data scientists and product teams to deliver high-impact ML solutions

About the team
Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.