Amazon
Company
Software Development Engineer II - DSO, Demand Science Optimization (DSO)
US, WA, Seattle
Job Description
This job posting has expired and no longer accepting applications.
Which & How many new devices will Amazon sell next year?
If you're interested in trying to answer that question, the Amazon DSO team is the team for you. We materially impact Amazon’s device businesses by forecasting demand and managing supply of all Amazon Devices using Machine Leaning (ML) and big data.
We are a growing team that continues to operate in "startup" mode to prove new business ideas, while strengthening our core platforms. We use the latest ML and predictive modeling technologies to build a common modeling framework for DSO science teams to enable them to extract information valuable to our business. We're looking for an engineer with an interest in ML who is a technical leader and ready for a challenge.
Do you want to work on genuinely hard problems? Do you want to design systems that will handle huge amounts of data and train thousands of models? If so, this is the job for you.
About the team
Demand Science Optimization (DSO) team builds software systems in the realm of Machine Learning (ML/AI/LLM) and economic modeling to address specific device-related challenges within inventory management functions: demand forecasting, pricing, and allocation. Our goal is to achieve a high level of automation, enabling a hands-off approach to assess tradeoffs such as pricing and promotion strategies, prediction and optimization services, and economic valuation. This approach aims to expedite the operational and financial leverage of Devices and Services, enhance customer satisfaction, and direct our team's expertise towards strategic decisions that have lasting implications. With a diverse product portfolio including popular devices like Alexa, Kindle, Ereader, Ring, Blink, and more, DSO faces intricate challenges. Our software solutions wield considerable influence, as our predictive algorithms guide the allocation of billions of dollars across a multitude of distribution points globally.
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