Exposure to client-side development, backend systems, audio/video technologies, and AI agent engineering, giving you a broad and well-rounded technical perspective.
We do not expect you to have mastered every technology stack before joining. We value strong fundamentals, learning agility, creativity, and the ability to turn ideas into working products.
Contribute to the design, development, iteration, and delivery of TikTok’s audio and video creation experiences, exploring AI-powered video editing, content generation, visual effects, and new creative workflows.
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Collaborate with fellow engineers, product managers, and business owners in the team to ensure timely delivery of business requirements.
Individuals who are completing or have recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline;
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Rich research experience in but not limited to the following areas (as the first author of published papers at CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.)
Image/video search, classification, and recognition
Develop data analytics and visualization capabilities to transform raw data into meaningful insights.
Apply data mining, machine learning, and NLP to extract insights from large-scale datasets.
Individuals who are completing or have recently completed a Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline.
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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 agent-based approaches that can adapt and fight new risks on their own, cutting operational costs.
Improve recall of long-tail and adversarial samples to reduce leakage.
Individuals who are completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, Cybersecurity, or a related technical discipline.
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Academic Excellence: Proven track record of 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.
Domain-Specific Impact: Hands-on experience in leading or participating in key projects related to Search, Advertising, Recommendation systems, or Large Language Models (LLMs).
Advanced Multimodal Applications: Specialized expertise in multimodal large models, particularly in long-text processing or applications within the film and television drama domains.
Multimodal AU data infrastructure and quality pptimization
Multimodal data representation and RAG-based application system
Individuals who are completing or recently completed a PhD in Artificial Intelligence, Computer Science, Computer Engineering, or a related technical discipline.
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Got doctor degree, preferably in Artificial Intelligence, Computer Science, Mathematics, or other related fields.
Strong programming skills with a good foundation in data structures and fundamental algorithms. Proficient in various algorithmic and engineering frameworks.
Publications in international conferences or journals (including but not limited to ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR etc) is a plus.
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