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We are hiring exceptional PhD students and graduates to join our Global Frontier Tech Recruitment Program. Work on some of our most ambitious and high-impact initiatives, and collaborate with leading experts to solve complex problems. Turn your ideas into technologies used on a global scale and shape the future of technology.
Gain access to high-impact research, industry-scale resources, and a collaborative environment designed to help you push the boundaries of your field.
Exclusive access to top-tier research
Pursue academic research & real-world applications
Leverage industry-leading infrastructure
Thrive in a culture built for research
Grow with competitive rewards and development
Explore a curated set of advanced research initiatives aligned with the company's most important technical challenges and long-term innovation goals.
Collaborate closely with experienced researchers and technical leaders who are shaping the direction of industry-defining technologies.
Xiaohui Shen
Xiaohui joined ByteDance in 2018 and holds a Ph.D. from Northwestern University and an M.S. from Tsinghua University. His work spans computer vision, multimodal understanding, and generative AI, with 100+ publications in CVPR, ICCV, ECCV, TPAMI, and SIGGRAPH Asia, ~30,000 citations, and an h-index of 67.
Rui Shi
Rui joined ByteDance in 2017 and leads the Infrastructure Foundational Technology, covering pooled storage, orchestration and scheduling, DPU, and data intelligence. He holds a B.S. from Tsinghua University and a Ph.D. from Boston University.
Li Zhang
Li, IEEE Senior Member, leads the Multimedia Lab at ByteDance. She previously worked at Qualcomm and Peking University. She specializes in multimedia technologies including image and video coding, processing and transmission. She has authored 180+ publications and holds 1,000+ U.S. patents.
Deping Xie
Deping and team are advancing the next frontier of large recommendation models, spearheading a shift in recommendation paradigms beyond last decade's standards. They build cutting-edge infrastructure and collaborate closely with algorithm teams to drive model-system co-design.
Jiaxiao Zheng
Jiaxiao received his B.S. in Electrical Engineering from Shanghai Jiaotong University and his M.S. and Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin. His research appears in USENIX ATC, IEEE ICC, and WiOpt, and IEEE journals.
Lele Yu
Lele received his Ph.D. in Computer Science from Peking University. He focuses on building training infrastructure for recommendation and ad models powering TikTok and a multitude of ByteDance products, specializing in distributed systems and performance optimization, with publications in SIGMOD, PVLDB, and ICDE.
Huayi Zhang
Huayi is an AI researcher and engineer working on foundation models, post-training, and scalable AI systems. He focuses on data, alignment, evaluation, and optimization, with more than ten publications in VLDB, KDD, SIGMOD, ICDE, and EMNLP, including a VLDB 2024 award.
Mengyuan Chao
Mengyuan is an AI engineer and product thinker who bridges research with engineering, building systems for continuously improving AI agents, including multi-agent orchestration and self-evolution frameworks. He holds a Ph.D. in Computer Science from Texas A&M University.
Zijun Wei
Zijun is a Research Scientist at ByteDance on the ARK team, developing large language models, agents, and generative AI systems. His work spans multimodal learning and reinforcement learning, including coding agents and asynchronous RL, with a focus on scalable systems and real-world product impact.
Zhengqin Luo
Zhengqin joined ByteDance in 2019 and leads security for large model and AI businesses, focusing on AI security and privacy. He holds a Ph.D. from INRIA Sophia Antipolis, with research in programming languages and information security, and has published widely in top conferences.
Yongjun Li
Yongjun received his B.S. from Fudan University, and his M.S. and Ph.D. from UC Berkeley. He leads advanced research on next-generation XR technologies, driving their integration with PICO's innovative products and the global adoption and fusion of XR with Agentic AI.
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Choose a track that aligns with your experience as a PhD researcher, with opportunities to contribute to high-impact work from day one.
“I focus on ensuring the stability of massive-scale data center clusters. The complexity of the production environment makes the work especially exciting, and designing comprehensive strategies for these systems is like solving a high-stakes puzzle every day. What stands out about this program is the access to large-scale infrastructure and the autonomy to tackle foundational challenges from day one, where optimizing these systems directly supports innovation and enables the delivery of smarter, more reliable experiences to users globally.”
Shengtong
Intelligent Computing Architecture and Operating System Researcher
"The work here is much closer to real-world use compared to academia. Instead of focusing only on ideas and papers, I think about how to make systems actually work in practice. It’s also changed how I approach research, from focusing on individual models to understanding how different parts of a system come together to build something useful and reliable."
Huawei
Research Intern, AI Infrastructure