Description

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 tough 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

-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 excellently 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 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.

Basic Qualifications

• 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Bachelor's degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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.