Responsibilities
Under the ByteDance framework The intelligent quality team is committed to combining advanced artificial intelligence technology with the quality management field to build a next-generation work paradigm in the quality field Testing and other directions, to provide high-quality solutions for ByteDance's internal product line. 1. Responsible for the research and development of relevant application technologies such as knowledge graph and reinforcement learning in the field of software intelligent delivery. Business scenarios include but not limited to knowledge graph, intelligent generation, intelligent interaction, risk mining, etc. 2. Track the latest AIGC and other cutting-edge technology fields Research results, explore the feasibility of landing in the industrial field, and continuously improve the application effect of algorithms 3. Deeply participate in project research and development, maintain close cooperation with product and business team students, continuously optimize the overall benefits of the project, and improve user experience.
Qualifications
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1. Familiar with the principles and implementation of various common algorithms, have experience in large-scale applications, and be proficient in machine learning, deep learning, reinforcement learning, One or more of recommendation system and NLP 2. Master one of engineering languages such as Python, Go, Java, C++ 3. Familiar with one or several deep learning frameworks (such as tensorflow, pytorch) 4. Responsibility Strong-minded, proactive, good communication skills and teamwork skills 5. Those with experience in the field of large language models are preferred have international top conferences (CVPR/NIPS/ICCV/AAAI/IJCAI, etc.), top conferences in the field of soft industry ( ICSE/ASE/FSE, etc.) Paper publishers are preferred.
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