Position Details

Type Not Specified

Experience senior

Exp. Years 3+ years

Education PhD or Master's degree

Category AI & Machine Learning

About this role

This role involves designing and deploying deep learning models for time series forecasting at Amazon's Retail business. The candidate will work cross-functionally to build scalable solutions and contribute to scientific research.

Key Responsibilities

Design new deep learning algorithms
Work cross-functionally to build end-to-end solutions
Conduct exploratory data analysis using Python and PySpark
Design novel neural network architectures
Collaborate with academic researchers and present at conferences

Technical Overview

The technical stack includes Python, PySpark, Java, C++, and deep learning frameworks such as Tensorflow, MxNet, and Spark MLLib. The role requires handling large-scale distributed systems like Hadoop and Spark.

Ideal Candidate

The ideal candidate is a senior applied scientist with a PhD or a Master's degree plus extensive applied research experience. They have strong programming skills in Python, Java, and C++, and deep expertise in neural deep learning and time series forecasting. They are innovative, collaborative, and capable of working cross-functionally to deploy large-scale machine learning models in production.

Must-Have Skills

3+ years of building machine learning models for business application experiencePhD or Master's degree and 6+ years of applied research experienceExperience programming in JavaC++Python or related languageExperience with neural deep learning methods and machine learning

Nice-to-Have Skills

Experience with modeling tools such as Rscikit-learnSpark MLLibMxNetTensorflownumpyscipyExperience with large scale distributed systems such as HadoopSpark

Required Skills

machine learningneural deep learningtime series forecastingPythonPySparkJavaC++Rscikit-learnSpark MLLibMxNetTensorflownumpyscipyHadoopSpark

Hard Skills

machine learningneural deep learningtime series forecastingPythonPySparkJavaC++Rscikit-learnSpark MLLibMxNetTensorflownumpyscipyHadoopSpark

Soft Skills

innovationcollaborationcommunicationproblem-solvingteamworkpresentationcross-functional work

Industry & Role

Industry E-commerce

Job Function Design and deploy advanced machine learning models for time series forecasting

Role Subtype AI Researcher

Tech Domains Python, Java, C++, Tensorflow, Hadoop, Spark, PySpark, scikit-learn, MxNet, numpy, scipy

Keywords for Your Resume

Applied Scientistmachine learningneural deep learningtime series forecastingPythonPySparkJavaC++Rscikit-learnSpark MLLibMxNetTensorflownumpyscipyHadoopSparkPhDMaster's degreeapplied researchdeep learning modelsfoundation time series modelsdeep learning

Deal Breakers

Less than 3 years of machine learning model building experience, No advanced degree (PhD or Master's with 6+ years research), No experience programming in Java, C++, or Python, No experience with neural deep learning methods

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