Applied Scientist, Last Mile Grospatial, Geospatial Last Mile
1 week ago
Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Customer addresses, Geospatial information and Road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of Address Normalization, Geocode learning, Maps learning, Time estimations including route-time, delivery-time, transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and building increasingly sophisticated solutions year over year. In the process there will be opportunity to innovate, explore SOTA and publish the research in internal and external ML conferences.
Key job responsibilities
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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Hyderabad, Telangana, India Amazon Full timeDESCRIPTIONCustomer addresses Geospatial information and Road-network play a crucial role in Amazon Logistics Delivery Planning systems We own exciting science problems in the areas of Address Normalization Geocode learning Maps learning Time estimations including route-time delivery-time transit-time predictions which are key inputs in delivery...
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Hyderabad, India Amazon Full timeAmazon, a Fortune 500 company based in Seattle, Washington, is the global leader in e-commerce. Since Jeff Bezos started Amazon in 1995, we have significantly expanded our product offerings, international sites, and worldwide network of fulfillment and customer service centers. Today, Amazon offers everything from books and electronics to tennis rackets and...
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