PayPal MLSE job description

• Discovering, analyzing, structuring and mining data
• Statistical hypotheses validation and model performance analysis
• Developing neural network models supporting business use cases
• Design and coordinate implementation of DL based solutions for production usage
• Deep understanding of data mining algorithms and statistical methods
• Experience in successfully applying machine learning to real-world problems
• Strong knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
• Knowledge in python and packages for data analysis (scipy, numpy, pandas, matplotlib)
• Proficient in one or more of programming languages Scala, Java, C++
• Strong knowledge of extracting and processing data with RDBMS/NoSQL
• Good communication skills and team player attitude
• Experience in Natural Language Processing/Understanding using deep neural networks ( RNN (LSTM, GRU) / CNN) is a plus
• Experience in working with GPU, profiling/low-level optimizations, Cuda/CuDNN is a plus
• Experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes) is a plus
• Experience with BigData ecosystem Hadoop, Hive, Spark/PySpark is a plus