Algorithm Engineer

3 days ago


Singapore TikTok Full time

Mining massive data of content-based e-commerce livestream, commodities, merchants, creators and other entities, modeling large-scale networks, and supporting business scenarios such as content understanding/multimodal representation/community mining to solve problems;
- Participate in the construction of a large-scale ByteGraph and graph learning platform to support the basic capabilities of billion-node and billion-edge graph learning;
- Explore the cutting-edge technology of research map learning direction and land it in real business scenes.
- Familiar with one or more deep learning/graph neural networks frameworks such as TensorFlow, Pytorch, DGL, PyG, etc.
- Familiar with cutting-edge algorithms in large-scale graph learning related fields, including but not limited to graph neural networks, graph feature learning, graph classification, graph anomaly detection, community discovery, label propagation, self-supervised/semi-supervised learning, etc., with a certain depth and breadth;
- Proficient in using big data tools Hive, Spark, Hadoop, familiar with graph calculation or ByteGraph such as GraphX, Neo4j is preferred;
- Top conferences in data mining, machine learning (KDD, ICML, NIPS, VLDB, etc.) and other fields have articles published preferred.


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