
Visionary AI Innovator for E-commerce Solutions
2 weeks ago
Job Description:
">- We are seeking a talented and ambitious individual to join our team as a Graduate Machine Learning Engineer. In this role, you will be responsible for developing and implementing cutting-edge machine learning algorithms to combat risks and low-quality merchants in e-commerce scenarios.
You will work closely with cross-functional teams to design and build large-scale graph storage and graph learning platforms that improve relationship building and governance within the TikTok e-commerce community.
">Key Responsibilities:
">- Develop and implement machine learning algorithms to identify and predict risks and low-quality merchants in e-commerce scenarios.
- Design and build large-scale graph storage and graph learning platforms to improve relationship building and governance within the TikTok e-commerce community.
- Collaborate with cross-functional teams to develop and deploy data models that support business operations.
- Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields.
Qualifications:
">- Final year graduates in Computer Science or quantitative field.
- Solid coding skills and familiar with deep learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.
- Familiar with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, with a certain depth and breadth.
Preferred Qualifications:
">- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.
- Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.
- Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.
The ideal candidate will have a strong foundation in machine learning and programming, excellent communication and teamwork skills, and a passion for innovation and problem-solving.
">-
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