Join Amazon's Books personalization team as a Senior Applied Scientist to create innovative recommendation solutions for millions of customers. Collaborate with a dynamic team while leveraging large-scale data to enhance the book discovery experience.
Key Responsibilities
Research and develop models that power customer-facing recommendations
Design and implement A/B test experiments
Collaborate with engineers, product, and other scientists to get machine learning solutions into production
Build recommendation model pipelines
Identify technical opportunities within complex deep learning-based recommendation models
Required Qualifications
4+ years of applied research experience
3+ years of building machine learning models for business applications
PhD or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Preferred Qualifications
Experience with popular deep learning frameworks such as MxNet and TensorFlow
Experience with large scale distributed systems such as Hadoop, Spark