Research Scientist Graduate - Seed Model, Speech, Interaction & Learning

About the Team Established in 2023, the ByteDance Seed team is dedicated to pioneering new paths toward artificial general intelligence. We aspire to advance the frontier of intelligence to drive progress for both technology and society. With a long-term vision for the AI sector, the Seed team's research spans MLLM, GenMedia, AI for Science, and Robotics. We maintain a global presence with laboratories and career opportunities across China, Singapore, and the United States. To date, we have launched industry-leading general foundation models and cutting-edge multimodal capabilities. Our technology powers over 50 application scenarios — including Doubao, Jimeng, TRAE, Dola and Dreamnia — and serves enterprise customers through Volcano Engine and BytePlus. Third-party data shows that the Doubao App ranks first in user volume in the Chinese market, while Doubao foundation models lead the industry in average daily token consumption. The mission of the Seed Speech team is to enrich interactive and creative processes through the application of multimodal speech technologies. The team focuses on the forefront of research and product development in speech and audio, music, natural language understanding, and multimodal deep learning. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities - Contribute cutting-edge research to ByteDance product evolution (e.g., Douyin, Capcut, and more) to impact billions of users worldwide. - Work on advanced science and technology in audio processing and generation (e.g., Dialogue Systems, Audio-Video Models, Speech Synthesis, Voice Conversion, Audio Codec Learning, Audio Language Modeling, etc.) - Research, model, design, develop and evaluate novel machine learning models and algorithms. - Collaborate with globally based researchers and engineering teams in developing machine learning models and algorithms. Minimum Qualifications - Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline. - Good knowledge of theoretical and empirical research in addressing research problems. - Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures. - Experience in both neural and non-neural, classical machine learning models and algorithms. - Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications - Research experience in one or more of the following fields: speech synthesis, audio generation, large language model, computer vision, generative models. - Strong first-author publications at accredited conferences such as(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.) - Proficient in C / C + +, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design.