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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Design and build supporting/debugging tools as needed.
Support the production of scalable and optimised AI/machine learning (ML) models.
Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.
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Develop industry-leading distributed training and computing frameworks for recommendation systems, providing robust infrastructure for massive datasets and large-scale business systems.
Final year student with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Passionate about computer science and internet technologies. Proficient in programming languages such as Java, C++, Scala, or Python.
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Participate in technical solution design, technical research and the adoption of new frontend technologies.
Adept at cross-team communication and collaboration to ensure smooth project execution.
Undergraduate or Postgraduate currently pursuing a Degree/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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Identify risk points, workflow bottlenecks, and product opportunities within moderation systems through data analysis, case studies, and business feedback.
Partner closely with cross-functional teams including engineering, data science, operations, and policy to support project execution, stakeholder alignment, rollout coordination, and post-launch review across complex initiatives.
Able to commit to working for 4/5 days a week for at least 6 months
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Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.
Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.
Currently pursuing a PhD in Computer Science, engineering or quantitative field.
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