Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.
Amazon Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization group is seeking a Senior Applied Scientist with expertise in Machine Learning/ Gen AI and a proven record of solving business problems through scalable ML solutions. FPX Science tackles some of the most mathematically complex challenges in transportation planning and execution space to improve Amazon's operational efficiency worldwide. We own Amazon’s global fulfilment center and transportation planning and execution. The team also owns the short-term network planning and execution that determines the optimal flow of customer orders through Amazon fulfilment network. These plans drive downstream decisions that are in the billions of dollars at Amazon Scale worldwide. The systems we build are entirely in-house and are on the forefront of both academic and applied research in large scale supply chain planning, optimization, machine learning and statistics. Your team and tech solution will have large impacts to the physical supply chain of Amazon and play a key role in improving Amazon consumer business’s long-term profitability. If you are interested in diving into a multi-discipline, high impact space this is the team for you.
We’re looking for a passionate, results-oriented, and inventive Scientist who can lead from the front towards developing and deploying ML models for our outbound transportation planning systems. In addition, you will be working on design, development and evaluation of highly innovative ML/AI models for solving complex business problems in outbound planning systems.
The position is located at Bellevue, WA, just next to Seattle with beautiful outdoors and great city life.
Watch http://bit.ly/amazon-scot to get the big picture.
Key job responsibilities
As a Senior Applied Scientist within FPX Science team, you will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. You will have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry, with some of the best product managers, research scientists, statisticians, and software engineers to integrate scientific work into production systems. You will bring deep technical expertise in Machine Learning/ GEN AI and will play an integral part in building Amazon's Fulfillment Optimization systems. Other responsibilities include:
* Design, development and evaluation of highly innovative ML models for solving complex business problems.
* Technically lead and mentor the scientists on the team.
* Research and apply the latest ML / AI techniques and best practices from both academia and industry.
* Identify and implement novel Generative AI use cases to deliver value.
* Design and implement Generative AI and LLM solutions to accelerate development and provide intuitive explainability of complex science models.
* Evaluate, validate, and benchmark AI agents and LLM frameworks.
* Use and analytical techniques to create scalable solutions for business problems.
* Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.
* Establish scalable, efficient, automated process
A day in the life
In this role, you will design and develop Machine Learning / AI models with significant scope, impact, and high visibility. You will design and implement large-scale Generative AI solutions across Amazon's global logistics network, including Fulfillment Centers, Sort Centers, and Delivery Stations. Develop ML models that improve efficiency, automate tasks, and drive multi-billion-dollar business impact across multiple countries. Collaborate with top-tier scientists, engineers, and designers while contributing to Amazon's broader scientific community. Must excel in fast-paced environments, demonstrate strong problem-solving skills, and balance innovation with strategic business needs.
About the team
FPX Science tackles some of the most mathematically complex challenges in transportation planning and execution FPX Science tackles complex transportation and fulfillment challenges to optimize Amazon's global operations. We manage long-term and short-term planning for fulfillment centers and transportation networks, determining optimal customer order flow. Our diverse team of ML and Operations Research scientists collaborates on projects supporting multiple SCOT functional areas. We solve intricate supply chain problems using innovative data-driven solutions, combining Operations Research, Simulation, ML, and AI techniques. We're also integrating latest Generative AI and LLM approaches to enhance our science models' design, development, and interpretation.
