Applied Scientist Ii, Geospatial Science
2 weeks ago
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 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, high-performance computing
Customer addresses, Geospatial information and Road-network play a crucial role in Amazon Logistics' Delivery Planning systems. Geospatial science team owns exciting learning problems in the areas of Address Normalization, Geocode learning, Travel time estimations, Maps conflation and attributes learning. These are foundational inputs that go into route planning and help in improving delivery experience of both the transporters and the end customers. This role focuses on problems related to address normalisation and geocode learning.
You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences.
Bangalore, KA, IND | Hyderabad, TS, IND
- Experience using Unix/Linux
- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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