Personalized ranking: Traditional ranking algorithms struggle to fully leverage multimodal information, and their limited model complexity fails to meet user demands for precise and personalized search.
Ultra-large-scale retrieval and ranking: Traditional discriminative cascaded ranking systems cannot meet the efficiency requirements for retrieval and ranking across hundred-billion-scale candidate pools.
Increasingly complex search needs: User search needs are growing increasingly complex. Traditional search frameworks struggle to accurately understand the semantics of long, complex, and ambiguous queries in multi-turn conversations, resulting in low search result satisfaction.
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Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion.
Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse-level manpower forecasting, inventory-level demand forecasting etc. We need strong machine learning and deep learning skills to detect important factors and model the relationship between the future and history.
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Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems.
Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
Apply data mining, data modeling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
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Design and develop data streams, distributed libraries, and online retrieval systems for billions of web searches, and design industry-leading retrieval architectures.
Design large-scale data processing platforms for different genres such as video, graphics, and E-commerce, and develop industry-leading search and database building systems and feature engineering.
Design and develop high-availability search engine stability solutions, continuously optimize service performance, and provide high-throughput, low-latency, and high-availability search online services.
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Undergraduate or Postgraduate currently pursuing a Degree/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Experience in programming, included but not limited to, the following programming languages: C++, Java or Golang.
Strong programming and problem-solving ability.
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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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Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices.
Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
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Maintain and update external policies and internal knowledge bases, including updating policy materials, templates, glossaries, and internal documentation.
Build and maintain simple visual reports to track policy communication effectiveness and user engagement.
Analyze key metrics such as reach, engagement, and CSAT to identify issues and support continuous improvement.
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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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Responsible for building and maintaining data products.
Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices.
Undergraduate or Postgraduate who is currently pursuing a Degree/Masters in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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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.
Undergraduate or Postgraduate currently pursuing a Degree/Master in Computer Science, engineering or quantitative field.
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Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote ecological development.
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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Valid Singapore motorcycle license (Class 2B, 2A, or 2), or a recognized foreign motorcycle license to be converted to a Singapore license within 6 months of starting
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