Applied Scientist - Machine Learning at Amazon

Applied Scientist - Machine Learning Details

Feb. 26, 2019, 1:41 a.m.
Research Science
Amazon Logistics
Seattle, Washington
Last Mile Science
The Last Mile Science and Technology organization plays a crucial role in developing solutions to vehicle routing problems critical for Amazon Logistics, Prime Now, and other Amazon businesses. As an Applied Scientist - ML on our team, you will partner closely with other Machine Learning and Operations Research scientists as well as scientists from other disciplines (e.g. statistics and economics) in a collegial environment with a clear path to business impact. You will own the development and delivery of ML models for one or more problems in last mile logistics. Successful candidates will have a deep knowledge of competing statistical and machine learning methods and the engineering expertise to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders, and the discipline to build maintainable, long-lasting solutions. Key responsibilities include: · Designing and implementing models and algorithms in

· PhD in Computer Science, Mathematics, Statistics, or other quantitative field with exposure to statistical modeling and machine learning · 3+ years of applying machine learning for solving real-world problems in industry (fresh graduates may be considered based on strong publication and implementation record) · Proficiency in C/C++, Java, or Python · Proficiency with at least one machine learning or statistical modeling library (R, Matlab, Scikit-learn) · Outstanding written and verbal communication skills · Publications in top ML conferences or journals · Experience building scalable ML solutions
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