Support the implementation and training of ecosystem policies, collaborate with labeling and strategy teams to improve execution consistency, track training effectiveness, and contribute to training program optimization.
Fast learner who is self-motivated and results-oriented;
Strong logical thinking, with a passion for exploring root causes and solving problems systematically;
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Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
Solid data structure/algorithm foundation, proficient in machine learning/deep learning theoretical knowledge, and rich practical experience.
Familiar with NLP, sentiment analysis, CV, multimodality, graph algorithm, search algorithm, text/data mining in 1-2 areas.
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Practical experience with Microsoft Power BI and Power Automate is preferred.
Japanese-language proficiency or JLPT certification is an advantage, as the role involves frequent communication with stakeholders at the company’s headquarters in Japan.
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