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
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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