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2 weeks ago
Join a cutting-edge team focused on developing innovative e-commerce solutions. As a Machine Learning Engineer, you will be responsible for designing and implementing algorithms to detect risk/violation/low-quality issues in various scenarios.
Responsibilities- Identify and optimize algorithms for large-scale brand libraries, products, and content deduplication/clustering.
- Mine and identify algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
- Construct data sets, fine-tune models, and perform CoT alignment to achieve optimal results in the e-commerce domain.
Minimum Qualifications:
- Final year Ph.D. or recent Ph.D. graduates in Computer Science, engineering, or quantitative fields.
- Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience.
- Familiarity with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM.
Preferred Qualifications:
- Good teamwork and communication skills, along with practical experience in relevant business scenarios.
- Published papers in high-level computer science conferences or have competition experience.
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