Student Researcher (Doubao (Seed) - Foundation Model AI Platform) - 2025 Start (PhD) Responsibilities Welcome to the GAI-Vision team, where we spearhead multi-modality foundation models on visual understanding and visual generation. Our mission is to solve the visual intelligence problem for AI. We conduct cutting-edge research on areas like vision and language, large vision models, and generative foundation models. The team is a mix of experienced research scientists and engineers, aiming to advance the research boundaries in foundation models and apply our technologies to our rich application scenarios, whereas a feedback loop is created to help further improve our foundation technologies. Join us in shaping the future of AI technologies and revolutionizing our product experience for global users. We are looking for talented individuals to join us for a Student Researcher opportunity in 2025. Student Researcher opportunities at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. The Student Researcher position provides unique opportunities that go beyond the constraints of our standard internship program, allowing for flexibility in duration, time commitment, and location of work. Responsibilities: Creating AI engineering infrastructure from end to end for large model development. Training inference acceleration and deployment. Qualifications Minimum Qualifications: Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Research and engineering experience in one or more areas of computer vision and natural language processing. Work and collaborate well with team members. Ability to work independently; Strong communication skills. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualification: Experience in multi-modal understanding, vision and language, such as video captioning, VQA, Text-to-video retrieval, and other related topics. Work with very large-scale datasets, and build very large-scale datasets to scale up foundation models. Experience with language models and apply them in various downstream tasks. Candidates with publications in top-tier venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, EMNLP, ACL, COLING, etc. Highly competent in algorithms and programming; Strong coding skills in Python and popular deep learning frameworks. EEO Statement ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

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