Collaborate closely with design, engineering, and operations teams to ensure smooth product development and high-quality delivery;
Collect and analyze post-launch user feedback and product data, participate in product reviews, and contribute to continuous product improvement and iteration.
Individuals who are completing or have recently completed a Bachelor’s degree or above in any major, with a strong interest in live streaming, content platforms, or internet products;
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Explore and implement efficient collaboration methods to enhance the efficiency of remote and cross-regional communication and support the iteration of our business.
Currently pursuing a Undergraduate in Software Development, Computer Science, Computer Engineering or a related engineering discipline.
Solid front-end programming skills with experience in solving browser compatibility issues and optimizing front-end performance.
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PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.
Excellent programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.
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Deliver data solutions for business scenarios by leveraging ByteDance’s robust middle-platform architecture and product systems.
Currently pursuing an Undergraduate Master's in Computer Science, Software Engineering, or a related technical discipline.
Strong understanding of data warehouse implementation methodologies, with hands-on experience in data warehouse systems and supporting business use cases.
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Knowledge accumulation and experience sharing engage in cross-department communication, compile meeting minutes and action items, and drive task execution and closure. Document project experience, encountered problems and corresponding solutions to build reusable team knowledge assets.
Actively enrolled university student.
Bachelor's degree or above, Computer Science, Data Science, Information Management, Statistics, Mathematics, Management Science or related disciplines are preferred.
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