Applied Scientist II Geospatial Science Last Mile
Applied Scientist II Geospatial Science Last Mile
Posted on :
09-04-2025
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1 Vacancy
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Job Description
Customer addresses Geospatial information and Roadnetwork 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 routetime deliverytime transittime 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 largescale 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.
Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling natural language processing semisupervised & graph based learning. We also look for the experience to graduate prototype models to production and the communication skills to explain complex technical approaches to the stakeholders of varied technical expertise.
Key job responsibilities
As an Applied Scientist II your responsibility will be to deliver on a well defined but complex business problem explore SOTA technologies including GenAI and customize the large models as suitable for the application. Your job will be to work on a endtoend business problem from design to experimentation and implementation. There is also an opportunity to work on open ended ML directions within the space and publish the work in prestigious ML conferences.
About the team
LMAI team owns WW charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning who also owns problems in the space of maps learning and travel time estimations.
3 years of building machine learning models or developing algorithms for business application experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Masters degree or PhD
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling natural language processing semisupervised & graph based learning. We also look for the experience to graduate prototype models to production and the communication skills to explain complex technical approaches to the stakeholders of varied technical expertise.
Key job responsibilities
As an Applied Scientist II your responsibility will be to deliver on a well defined but complex business problem explore SOTA technologies including GenAI and customize the large models as suitable for the application. Your job will be to work on a endtoend business problem from design to experimentation and implementation. There is also an opportunity to work on open ended ML directions within the space and publish the work in prestigious ML conferences.
About the team
LMAI team owns WW charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning who also owns problems in the space of maps learning and travel time estimations.
3 years of building machine learning models or developing algorithms for business application experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Masters degree or PhD
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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