Applied Scientist, Routing and Planning - Science Team at Amazon
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Does the idea of creating technology solutions for delivering 11 Billion+ packages across the globe excite you? If yes, come join a fun-loving, diverse, and creative team at Amazon Last Mile! The vision of the team is "To create Earth’s safest, most adaptive, and efficient plans for Last Mile logistics". The Last Mile Delivery Technology team is instrumental in impacting customer satisfaction directly, by devising innovative ways to deliver packages quickly and cost-effectively to the customers, and at scale using Artificial Intelligence (AI), Machine Learning and Operations Research solutions.
Last Mile Delivery Technology organization supports the design, planning and execution of last mile transportation for Amazon’s various parcel and grocery delivery programs. All these programs require a large number of decision support systems to operate at scale and serve our customers, spanning demand planning, jurisdiction planning, delivery channel and network design, capacity planning for on the road and under the roof at delivery stations, routing inputs and route optimization. While these decision support systems have thus far been approached through the lens of traditional optimization and machine learning, we are looking to re-envision this space and pursue Foundational AI research, to innovate and advance the state of these decision support systems. Specifically, we are looking to develop foundational models (including Large Language Models, Multimodal Language Models, Multimodal Models), and adaptations to serve last mile use cases. Beyond Amazon the work developed will spur new fundamental knowledge and innovation in the logistics space.
Job Location : Bellevue WA or Austin TX.
Key job responsibilities
You have deep expertise in ML/AI, staying current with the latest research and techniques. You also invent or adapt new scientific approaches based on customer needs, producing high-quality research reports and contributing to peer-reviewed publications when appropriate
You are a highly skilled software engineer whose work is consistently of high quality, meets industry standards, and incorporates best practices. You work semi-autonomously, contribute to operational excellence.
You have strong interpersonal and leadership skills, effectively collaborating with your team, championing scientific advancements, onboarding new teammates, setting a high standard for your scientific contributions, and actively participating in the wider scientific community
Last Mile Delivery Technology organization supports the design, planning and execution of last mile transportation for Amazon’s various parcel and grocery delivery programs. All these programs require a large number of decision support systems to operate at scale and serve our customers, spanning demand planning, jurisdiction planning, delivery channel and network design, capacity planning for on the road and under the roof at delivery stations, routing inputs and route optimization. While these decision support systems have thus far been approached through the lens of traditional optimization and machine learning, we are looking to re-envision this space and pursue Foundational AI research, to innovate and advance the state of these decision support systems. Specifically, we are looking to develop foundational models (including Large Language Models, Multimodal Language Models, Multimodal Models), and adaptations to serve last mile use cases. Beyond Amazon the work developed will spur new fundamental knowledge and innovation in the logistics space.
Job Location : Bellevue WA or Austin TX.
Key job responsibilities
You have deep expertise in ML/AI, staying current with the latest research and techniques. You also invent or adapt new scientific approaches based on customer needs, producing high-quality research reports and contributing to peer-reviewed publications when appropriate
You are a highly skilled software engineer whose work is consistently of high quality, meets industry standards, and incorporates best practices. You work semi-autonomously, contribute to operational excellence.
You have strong interpersonal and leadership skills, effectively collaborating with your team, championing scientific advancements, onboarding new teammates, setting a high standard for your scientific contributions, and actively participating in the wider scientific community