ByteDance
Student Researcher (Doubao (Seed) - Machine Learning System) - 2025 Start (PhD)
ByteDance, Seattle, Washington, us, 98127
Student Researcher (Doubao (Seed) - Machine Learning System) - 2025 Start (PhD)
Responsibilities Established in 2023, the ByteDance Seed team is dedicated to discovering new approaches to general intelligence, and pushing the boundaries of AI. Our research spans large language models, speech, vision, world models, AI infrastructure, next-generation interfaces and more. 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. Responsibilities include: Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring. Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC). Implement both general purpose training framework features and model specific optimizations (e.g. LLM, diffusions). Improve efficiency and stability for extremely large scale distributed training jobs. Qualifications Minimum Qualifications: Currently in PhD program in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies. Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax. Have basic understanding of how GPU and/or ASIC works. Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs). Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD. AI compiler stacks such as torch.fx, XLA and MLIR. Large scale data processing and parallel computing. Experiences in designing and operating large scale systems in cloud computing or machine learning. Experiences in in-depth CUDA programming and performance tuning (cutlass, triton). Job Information The hourly rate range for this position in the selected city is $57- $57. Benefits may vary depending on the nature of employment and the country work location. 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. ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.
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Responsibilities Established in 2023, the ByteDance Seed team is dedicated to discovering new approaches to general intelligence, and pushing the boundaries of AI. Our research spans large language models, speech, vision, world models, AI infrastructure, next-generation interfaces and more. 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. Responsibilities include: Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring. Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC). Implement both general purpose training framework features and model specific optimizations (e.g. LLM, diffusions). Improve efficiency and stability for extremely large scale distributed training jobs. Qualifications Minimum Qualifications: Currently in PhD program in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies. Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax. Have basic understanding of how GPU and/or ASIC works. Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs). Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD. AI compiler stacks such as torch.fx, XLA and MLIR. Large scale data processing and parallel computing. Experiences in designing and operating large scale systems in cloud computing or machine learning. Experiences in in-depth CUDA programming and performance tuning (cutlass, triton). Job Information The hourly rate range for this position in the selected city is $57- $57. Benefits may vary depending on the nature of employment and the country work location. 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. ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.
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