Research and practice large model prompt word engineering, and explore the application of large models in content understanding tasks, including feature engineering, algorithm design, training, and deployment
Design and implement models for video classification, text content analysis, etc. in short video content understanding to deeply support the growth of AI business
Support the entire process of AI projects, including model data collection, training, evaluation, delivery and iteration.
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Build global product catalog and content understanding systems, modeling products, videos, images, merchants, and brands with structured and semantic representations.
Develop algorithms for identical product matching, product/merchant/brand deduplication, and cross-lingual product aggregation, addressing multimodal matching, real-time aggregation, multi-granularity clustering, and semantic alignment.
Build pricing algorithms for price comparison, product pricing, price monitoring, and anomaly detection, supporting subsidy programs, price competitiveness analysis, and supply optimization.
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Build global product catalog and content understanding systems, modeling products, videos, images, merchants, and brands with structured and semantic representations.
Develop algorithms for identical product matching, product/merchant/brand deduplication, and cross-lingual product aggregation, addressing multimodal matching, real-time aggregation, multi-granularity clustering, and semantic alignment.
Build pricing algorithms for price comparison, product pricing, price monitoring, and anomaly detection, supporting subsidy programs, price competitiveness analysis, and supply optimization.
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Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
Advance the event-sequence-driven generative recommendation paradigm, integrating multimodal understanding and generative capabilities.
Apply LLM technologies across retrieval, ranking, and re-ranking stages; participate in model training, inference optimization, and system co-design.
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Learn and understand the business model and system architecture of international short-video platforms;
Assist in identifying potential fraud risks related to account security; participate in organizing and refining the risk control strategy framework.
Assist in investigating fraud risks in account security-related scenarios; help design a reasonable data tracking system; apply big data analysis methods to quantitatively identify potential risks and their business impact.
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Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.
Responsible for using algorithms to identify events and behaviors that affect product experience and efficiency, and building data models to help create a favorable ecosystem and support business operations.
Participate in building data for various entities such as e-commerce live streaming/video, products, merchants, and creators, building large-scale network/feature sequence models to support business scenarios such as content understanding, multimodal representation, community mining, and solve problems related to products, live streaming, and video management, and provide support for them.
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support the full-duplex voice interaction technology in practical applications, and conduct cutting-edge research in the application of voice interaction;
Support the implementation of speech recognition technology in diverse business scenarios both inside and outside the company, and continuously optimize the performance of core speech recognition technologies;
Build the core technology system for audio understanding, focus on cutting-edge technologies and algorithm performance in audio understanding, and pursue and explore the most cutting-edge algorithms in the industry.
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Currently pursuing PhD in Computer Science, AI, Mathematics, or a related technical discipline, with a strong foundation in data structures, algorithms, and mathematical modeling.
AI/ML Expertise: Solid understanding and research experience in Deep Learning, NLP, CV, Reinforcement Learning, Generative Models, or Multimodal Learning.
Priority will be given to candidates with publications in international AI/CS conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, KDD, SIGIR, WWW) or top rankings in recognized algorithmic competitions.
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Currently pursuing PhD in Computer Science, AI, Mathematics, or a related technical discipline, with a strong foundation in data structures, algorithms, and mathematical modeling.
AI/ML Expertise: Solid understanding and research experience in Deep Learning, NLP, CV, Reinforcement Learning, Generative Models, or Multimodal Learning.
Priority will be given to candidates with publications in international AI/CS conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, KDD, SIGIR, WWW) or top rankings in recognized algorithmic competitions.
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Education & Foundation: Ph.D. in Computer Science, AI, Mathematics, or a related field, with a strong foundation in data structures, algorithms, and mathematical modeling.
AI/ML Expertise: Solid understanding and research experience in Deep Learning, NLP, CV, Reinforcement Learning, Generative Models, or Multimodal Learning.
Coding & Engineering: Proficient in major programming languages and machine learning frameworks (e.g., PyTorch, TensorFlow), combined with excellent problem-solving, self-learning, and teamwork skills.
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Education & Foundation: Ph.D. in Computer Science, AI, Mathematics, or a related field, with a strong foundation in data structures, algorithms, and mathematical modeling.
AI/ML Expertise: Solid understanding and research experience in Deep Learning, NLP, CV, Reinforcement Learning, Generative Models, or Multimodal Learning.
Coding & Engineering: Proficient in major programming languages and machine learning frameworks (e.g., PyTorch, TensorFlow), combined with excellent problem-solving, self-learning, and teamwork skills.
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