Job Description

Responsibilities

include (not limited to):

  • Working with internal teams and clients to develop machine learning applications

  • Run machine learning tests and experiments

  • Extend existing ML libraries and frameworks when necessary

  • Study and transform data science prototypes

  • Develop processes and tools to monitor and analyze model performance and data accuracy

  • Develop an A/B testing framework and test model quality

    • Preference will be given to candidates with the following:

  • A drive to learn and master new technologies and techniques

  • Familiar with development and deployment on Cloud environment (AWSCLI, Boto3, Docker and etc)

  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark and etc

  • Experience with CUDF and other CUDA-based libraries

    • We love to share $1,000 success bonuses for referrals.

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