Work closely with our data scientist team to uncover insights, deploy state-of-the-art algorithms, and build practical solutions on massive user and product data.
Build core machine learning models as well as end-to-end product to support business applications such as image processing and search, video analysis and retrieval, text summarization and generation, marketing prediction models (e.g. churn prediction, lifetime value prediction), etc.
Analyze massive data and conduct feature engineering by large-scale data mining
Strong knowledge in one of the following machine learning areas will be an advantage:
Deep learning
Computer Vision
NLP
Image/ Video analysis and processing
Text summarization
Research the state-of-the-art techniques in deep learning, reinforcement learning areas to solve challenging problems.
Setup real-time data pipeline and build reliable dataset for various tasks.
Experience in semi-superivsed, unsupervised models, and multi-modal deep learning will be an advantage but not pre-requisite.
Requirements:
2 years working experience with a programming language such as Python, Golang
Experience on SQL, Spark, Kafka, hadoop
Knowledge on areas such as Computer vision, Deep learning and NLP
Experience on elasticsearch, JanusGraph, Hbase and redis
Experience in OpenCV/Tensorflow/Caffe machine learning framework
