Applied Scientist SPX AI Lab

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AIpowered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor thats always available to enable our partners to thrive in Amazons stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the sellers side talks to them in their language enables them to capitalize on opportunities and helps them accomplish their business goals with ease. It is powered by the stateoftheart Generative AI going beyond a typical chatbot to provide a personalized experience to sellers running real businesses large and small.

Do you want to join an innovative team of scientists engineers product and program managers who use the latest Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience Do you want to build solutions to real business problems by automatically understanding and addressing sellers challenges needs and opportunities Are you excited by the prospect of contributing to one of Amazons most strategic Generative AI initiatives If yes then you may be a great fit to join the Selling Partner Experience Science team.

Key job responsibilities
Use stateoftheart Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazons Selling Partners to succeed.
Design develop and deploy highly innovative models to interact with Sellers and delight them with solutions.
Work closely with teams of scientists and software engineers to drive realtime model implementations and deliver novel and highly impactful features.
Establish scalable efficient automated processes for large scale data analyses model benchmarking model validation and model implementation.
Research and implement novel machine learning and statistical approaches.
Participate in strategic initiatives to employ the most recent advances in ML in a fastpaced experimental environment.

About the team
Selling Partner Experience Science is a growing team of scientists engineers and product leaders engaged in the research and development of the next generation of MLdriven technology to empower Amazons Selling Partners to succeed. We draw from many science domains from Natural Language Processing to Computer Vision to Optimization to Economics to create solutions that seamlessly and automatically engage with Sellers solve their problems and help them grow. We are focused on building seller facing AIpowered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products understanding and complying with Amazons policies and taking actions to grow their business.

PhD or Masters degree and 4 years of CS CE ML or related field experience
3 years of building machine learning models or developing algorithms for business application experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing

Experience in patents or publications at toptier peerreviewed conferences or journals
Experience in investigating designing prototyping and delivering new and innovative system solutions
Experience in developing Generative AI applications.

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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.