Are you excited about developing cuttingedge generative AI large language models (LLMs) and foundation models Are you looking for opportunities to build and deploy them on realworld problems at a truly vast scale with global impact As part of AFT (Amazon Fulfillment Technologies) AI a group of over 50 scientists and engineers we are on a mission to build a new generation of dynamic endtoend prediction models (and agents) for our warehouses. These models will be able to understand and make use of petabytes of humancentered as well as process information from our warehouse systems and robotic work cells and learn to perceive and act to further improve our worldclass customer experience at Amazon scale.
We are looking for a Senior Manager of Applied Science who will help us build nextlevel solutions in a full warehouse with the help of generative AI graph neural networks and LLMs. Together we will be pushing beyond the state of the art in simulation and optimization of one of the most complex systems in the world: Amazons Fulfillment Network.
Key job responsibilities
In this role you will manage a talented team of scientists to to build largescale GenAI models that will be able to understand and predict the state and future of our buildings network and orders.
You will face a high level of research ambiguity and problems that require creative ambitious and inventive solutions. You will lead a team of scientists to solve cuttingedge problems going beyond the published state of the art that will drive transformative change on a truly global scale. You will collaborate with teams of engineers to leverage solutions in production. You will lead the vision and implementation and communicate both to higher level leadership at Amazon.
If you thrive in a dynamic environment and are passionate about pushing the boundaries of generative AI LLMs and automated fulfillment solutions we want to hear from you.
About the team
Amazon Fulfillment Technologies (AFT) powers Amazons global fulfillment network. We invent and deliver software hardware and data science solutions that orchestrate processes robots machines and people. We harmonize the physical and virtual world so Amazon customers can get what they want when they want it.
The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques applied to text sequences of events images or video from existing or new hardware. We influence each stage of innovation from inception to deployment developing a research plan creating and testing prototype solutions and shepherding the production versions to launch.
Masters in Computer Science Statistics or other quantitative field 10 years of experience in machine learning or a related field Proven track record of leading and managing science teams and delivering impactful results Expert knowledge of machine learning algorithms and techniques. Familiarity with largescale data processing and storage systems. Excellent communication and interpersonal skills. Ability to work in a fastpaced collaborative environment
PhD in quantitative field and experience with building applications using Large language models
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196900/year in our lowest geographic market up to $340300/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.
Required Experience:
Senior Manager