Logo
myGwork - LGBTQ+ professionals & allies

Applied Scientist II, Fulfillment Planning & Execution Science - SCOT Fulfilment

myGwork - LGBTQ+ professionals & allies, Bellevue, Washington, us, 98009


DescriptionHave 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.Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization owns and operates OR/ML and simulation systems that continually optimize the distribution of tens of millions of products across Amazon's warehouses in the most cost-effective manner, utilizing large scale optimization techniques and distributed computing in trying to reduce overall transportation costs while improving the customer experience. We are focused on saving hundreds of millions of dollars using big data technologies, cutting edge science, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.We're looking for a passionate, results-oriented, and inventive machine learning scientist who can create and improve models for our outbound transportation planning systems. In addition, you will be working on design, development and evaluation of highly innovative ML models for solving complex business problems in the area of outbound transportation planning systems. You will work closely with our product managers and software engineers to disambiguate complex supply chain problems and create ML solutions to solve those problems at scale. You will directly impact our direct customers, and even play with big data and incredible scale in the background.Key job responsibilitiesDesign, development and evaluation of highly innovative ML models for solving complex business problems.Research and apply the latest ML techniques and best practices from both academia and industry.Think about customers and how to improve the customer delivery experience.Use 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 processes for large scale data analyses, model development, model validation and model implementation.A day in the lifeThis is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans for and executes within its logistics network including Fulfillment Centers, Sort Centers, Delivery Stations, and more. In this role, you will design and develop Machine Learning models with significant scope, impact, and high visibility. Your solutions will impact business segments worth many billions of dollars and geographies spanning multiple countries and markets. From day one, you will be working with bar raising scientists, engineers, and designers. You will also collaborate with the broader science community in Amazon to broaden the horizon of your work. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with Amazon's strategic needs. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About The TeamFPX 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. FPX science team contains a group of scientists with different technical backgrounds including Machine Learning and Operations Research, who will collaborate closely with you on your projects. Our team directly supports multiple functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning to improve Amazon's operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create ML and optimization solutions to solve those problems at scale.Basic QualificationsPhD, or Master's degree and 4+ years of CS, CE, ML or related field experience3+ years of building machine learning models or developing algorithms for business application experienceExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience developing and implementing popular deep learning algorithms and Reinforcement learning.Preferred QualificationsKnowledge of programming languages such as C/C++, Python, Java or PerlExperience implementing algorithms using both toolkits and self-developed codeExperience of applying hybrid techniques in the space of ML and Operations Research is a big plus.

#J-18808-Ljbffr