Applied Scientist III
Amazon
Hyderabad
2d ago
source : Shine

Amazon s location and predictive routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon , Prime Now, and other Amazon businesses.

As part of the Last Mile Science & Technology organization, you ll partner closely with other scientists and engineers in a collegial environment with a clear path to business impact.

We have an exciting problem area to augment the maps and routing inputs used in Last Mile planning and navigation by leveraging the latest computer vision and deep learning techniques, and are actively looking to hire senior scientists to lead this area.

Successful candidates will have a deep knowledge of competing machine learning methods for large scale computer vision problems, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems.

Basic Qualifications :

PhD in Computer Science, Mathematics, Statistics, or other quantitative field with exposure to statistical modeling and machine learning

6+ years of applying machine learning for solving real-world problems in industry

Proficiency in C / C++, Java, or Python

Proficiency with at least one machine learning or statistical modeling library (R, Matlab, Scikit-learn)

Past delivery of large-scale ML solutions for complex business problems

Outstanding written and verbal communication skills

Preferred Qualifications

Publications in top ML conferences or journals

Experience with a popular deep learning toolkit (TensorFlow, MXNet, PyTorch, Caffe etc)

Specialization in computer vision, PhD in Computer Science, Mathematics, Statistics, or other quantitative field with exposure to statistical modeling and machine learning

6+ years of applying machine learning for solving real-world problems in industry

Proficiency in C / C++, Java, or Python

Proficiency with at least one machine learning or statistical modeling library (R, Matlab, Scikit-learn)

Past delivery of large-scale ML solutions for complex business problems

Outstanding written and verbal communication skills

Publications in top ML conferences or journals

Experience with a popular deep learning toolkit (TensorFlow, MXNet, PyTorch, Caffe etc)

Specialization in computer vision

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