Amazon

Software Development Engineer, Demand Science Optimization (DSO)

US, VA, Arlington
18 days ago

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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 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.

Key job responsibilities
A Software Development Engineer (SDE) on the team is expected to operate autonomously, deliver projects that have scope at the team or cross team level, interact with other teams understand their needs or integrate with their systems. Daily activities for this role will include driving designs for components and services that deliver new features and capabilities, preparing estimates for upcoming deliverables, document proposed solutions, reviewing code of other members, writing well structured and optimized code, performing root cause analysis on operational events, providing project updates to leadership and other team members. This position involves on-call responsibilities, typically for one week every 4-5 weeks.

About the team
Demand Science Optimization (DSO) team builds supply chain 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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