Responsibilities
include (not limited to):
Working with internal teams and clients to develop machine learning applicationsRun machine learning tests and experimentsExtend existing ML libraries and frameworks when necessaryStudy and transform data science prototypes Develop processes and tools to monitor and analyze model performance and data accuracyDevelop 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 techniquesFamiliar with development and deployment on Cloud environment (AWSCLI, Boto3, Docker and etc)Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark and etcExperience with CUDF and other CUDA-based libraries We love to share $1,000 success bonuses for referrals.