Loading...
Applied Scientist I, Amazon Fulfillment Technology , Amazon Fulfillment Technologies (AFT)
Amazon
On-siteentryPosted May 14, 2026
About the Role
Develop scientific solutions and analytics for Amazon's Fulfillment Network, including scalable mathematical models, prototypes, and simulations, and partner with engineers to integrate solutions into production systems.
Requirements
Seeks an Applied Scientist with strong optimization and analytical skills to develop innovative, scalable, and reliable science-driven solutions for Amazon's Fulfillment Network, focusing on optimization, simulation, and machine learning.
Full Job Description
The Amazon Fulfillment Technologies (AFT) Science team is looking for an exceptional Applied Scientist, with strong optimization and analytical skills, to develop production solutions for one of the most complex systems in the world: Amazon’s Fulfillment Network. At AFT Science, we design, build and deploy optimization, simulation, and machine learning solutions to power the production systems running at world wide Amazon Fulfillment Centers. We solve a wide range of problems that are encountered in the network, including labor planning and staffing, demand prioritization, pick assignment and scheduling, and flow process optimization. We are tasked to develop innovative, scalable, and reliable science-driven solutions that are beyond the published state of art in order to run frequently (ranging from every few minutes to every few hours per use case) and continuously in our large scale network.
Key job responsibilities
As an Applied Scientist, you will work with other scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:
* Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements
* Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approach
* Develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and new challenges
* Create prototypes and simulations for agile experimentation of devised solutions
* Advocate technical solutions to business stakeholders, engineering teams, and senior leadership
* Partner with engineers to integrate prototypes into production systems
* Design experiment to test new or incremental solutions launched in production and build metrics to track performance
About the team
Amazon Fulfillment Technology (AFT) designs, develops and operates the end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
The AFT Science team has expertise in operations research, optimization, scheduling, planning, simulation, and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies, our teams therefore invest in multiple specialties as the needs of each focus area evolves.
Key job responsibilities
As an Applied Scientist, you will work with other scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:
* Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements
* Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approach
* Develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and new challenges
* Create prototypes and simulations for agile experimentation of devised solutions
* Advocate technical solutions to business stakeholders, engineering teams, and senior leadership
* Partner with engineers to integrate prototypes into production systems
* Design experiment to test new or incremental solutions launched in production and build metrics to track performance
About the team
Amazon Fulfillment Technology (AFT) designs, develops and operates the end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
The AFT Science team has expertise in operations research, optimization, scheduling, planning, simulation, and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies, our teams therefore invest in multiple specialties as the needs of each focus area evolves.